From d86732ff0a29f02b7e669767c712ef2d4df78ff1 Mon Sep 17 00:00:00 2001 From: Chen Date: Fri, 30 Oct 2026 09:09:26 -0400 Subject: [PATCH] v2 run (D53-D57): recomputed truths and RCT truths, re-rendered draft report; one thread per worker Main draft grid 2,700 jobs and physician-cluster bootstrap 80 jobs, 0 errors. Report prose in Section 1+ still quotes first-run numbers; to be rewritten after the Aim 1 review. Co-Authored-By: Claude Opus 5.5 --- reports/draft-report.html | 19243 ++++++++++++++++++++++----- simulations/run_experiment.R | 2 + simulations/truths/risk_curves.csv | 7920 +++++++++++ simulations/truths/truths.csv | 1197 +- simulations/truths/truths_rct.csv | 1068 +- 5 files changed, 25860 insertions(+), 3570 deletions(-) diff --git a/reports/draft-report.html b/reports/draft-report.html index fe715bf..ef69ed7 100644 --- a/reports/draft-report.html +++ b/reports/draft-report.html @@ -10,7 +10,7 @@ - + Early vs delayed PVI for claudication: known-truth simulation, draft results @@ -1482,7 +1482,7 @@ border-radius: 0px; known-truth simulation, draft results

Draft scale: n = 50,000 patients, 100 replicates per world x scenario

-

2026-10-28

+

2026-10-30

@@ -1497,10 +1497,10 @@ physician variants, 3 negative controls, an oracle run, and 2 simulated RCTs. 2,400 replicate files, 0 errors. 16 of 288,000 estimates are missing (sequential trials with physician fixed effects, 4 replicates), and these are dropped. -
  • Outcome shown. The headline outcome is the -disease composite (CLTI or major amputation), whose -true effect under the null is exactly 0 (D34). MALE is shown where it -adds something.
  • +
  • Outcome shown. The headline outcome is limb +MALE (CLTI, major amputation or open bypass; D56), whose true +effect under the null is exactly 0 (D34). MALE is shown where it adds +something.
  • Two errors, kept separate (D27). Estimation bias = mean estimate − the method’s own truth. Question gap = the method’s own truth − the reference truth (CCW A vs B1). @@ -1520,14 +1520,14 @@ so treat those parts as provisional.
  • percentage points, world W0. - - + + - - + + @@ -1549,10 +1549,10 @@ percentage points, world W0. 0.0 0.0 0.0 --0.3 --0.33 (0.26) -2.6 -85% +-0.4 +-0.35 (0.27) +2.7 +91% null @@ -1560,219 +1560,252 @@ percentage points, world W0. 0.0 0.0 0.0 --0.3 --0.33 (0.26) -2.6 -85% - - -null -Sequential trials, ITT -0.0 -0.0 -0.0 --0.0 --0.02 (0.10) -1.0 -94% - - -null -Landmark at 6 months -0.0 --0.3 --0.3 --0.2 -0.14 (0.06) -1.0 -97% - - -null -Naive ‘ever early PVI’ -0.0 -1.3 -1.3 -1.1 --0.20 (0.06) -1.2 -95% - - -null -Realistic RCT (n = 240), ITT -0.0 -0.0 -0.0 --0.1 --0.07 (0.39) -3.9 -94% - - -null -Ideal pragmatic RCT, ITT -0.0 -0.0 -0.0 --0.1 --0.05 (0.03) -0.3 -95% - - -harm -CCW, A vs B1 (reference) -5.1 -5.1 -0.0 -5.3 -0.17 (0.28) -2.8 -96% - - -harm -CCW, A vs B2 -5.1 -5.2 -0.0 -5.3 -0.17 (0.28) -2.8 -96% - - -harm -Sequential trials, ITT -5.1 -5.7 -0.6 -5.7 --0.01 (0.15) -1.5 +-0.4 +-0.35 (0.27) +2.7 91% +null +Sequential trials, ITT +0.0 +0.0 +0.0 +0.1 +0.05 (0.12) +1.2 +94% + + +null +Landmark at 6 months +0.0 +-0.2 +-0.2 +-0.0 +0.17 (0.06) +1.2 +95% + + +null +Landmark, + month-5 severity (suppl.) +0.0 +-0.3 +-0.3 +-0.1 +0.18 (0.06) +1.2 +95% + + +null +Naive ‘ever early PVI’ +0.0 +1.2 +1.2 +1.0 +-0.15 (0.07) +1.3 +91% + + +null +Realistic RCT (n = 240), ITT +0.0 +0.0 +0.0 +-0.2 +-0.25 (0.37) +3.7 +98% + + +null +Ideal pragmatic RCT, ITT +0.0 +0.0 +0.0 +-0.1 +-0.06 (0.03) +0.3 +95% + + +harm +CCW, A vs B1 (reference) +6.2 +6.2 +0.0 +6.4 +0.21 (0.30) +3.0 +94% + + +harm +CCW, A vs B2 +6.2 +6.2 +0.1 +6.4 +0.21 (0.30) +3.0 +94% + + +harm +Sequential trials, ITT +6.2 +6.9 +0.7 +6.9 +-0.01 (0.15) +1.5 +95% + + harm Landmark at 6 months -5.1 -7.9 -2.8 -7.8 --0.10 (0.16) -3.6 -92% +6.2 +7.1 +0.9 +7.1 +0.02 (0.07) +1.6 +93% + + +harm +Landmark, + month-5 severity (suppl.) +6.2 +9.4 +3.3 +9.4 +-0.06 (0.17) +4.1 +91% harm Naive ‘ever early PVI’ -5.1 -7.2 +6.2 +8.2 2.1 -6.9 --0.29 (0.06) +8.0 +-0.26 (0.07) 1.6 -88% +92% harm Realistic RCT (n = 240), ITT -5.1 -5.3 -0.2 -5.5 -0.21 (0.43) -4.3 -97% +6.2 +6.6 +0.4 +7.3 +0.73 (0.52) +5.2 +95% harm Ideal pragmatic RCT, ITT -5.1 -5.2 -0.0 -5.2 -0.04 (0.03) +6.2 +6.3 +0.1 +6.3 +0.03 (0.03) 0.3 -95% +96% benefit_harm CCW, A vs B1 (reference) -3.1 -3.1 +3.6 +3.6 0.0 -3.3 -0.28 (0.29) -2.9 -89% +3.9 +0.33 (0.31) +3.1 +91% benefit_harm CCW, A vs B2 -3.1 -3.0 +3.6 +3.6 -0.0 -3.3 -0.28 (0.29) -2.9 -89% +3.9 +0.33 (0.31) +3.1 +91% benefit_harm Sequential trials, ITT -3.1 -4.0 -0.9 -4.2 -0.26 (0.11) +3.6 +4.7 1.1 -99% +5.0 +0.32 (0.12) +1.2 +98% benefit_harm Landmark at 6 months -3.1 +3.6 +5.2 +1.6 5.3 -2.3 -5.4 -0.03 (0.19) -3.5 -95% +0.13 (0.07) +1.2 +98% benefit_harm -Naive ‘ever early PVI’ -3.1 -5.7 +Landmark, + month-5 severity (suppl.) +3.6 +6.2 2.6 -5.4 --0.26 (0.07) -1.2 -97% +6.4 +0.21 (0.21) +4.0 +94% benefit_harm -Realistic RCT (n = 240), ITT -3.1 -3.9 -0.8 -3.8 --0.08 (0.43) -4.3 -94% +Naive ‘ever early PVI’ +3.6 +6.3 +2.7 +6.1 +-0.19 (0.08) +1.3 +97% benefit_harm +Realistic RCT (n = 240), ITT +3.6 +4.8 +1.2 +4.4 +-0.36 (0.43) +4.3 +94% + + +benefit_harm Ideal pragmatic RCT, ITT -3.1 -3.9 -0.8 -3.9 -0.01 (0.03) +3.6 +4.6 +1.0 +4.6 +-0.02 (0.03) 0.3 -92% +95% @@ -1794,25 +1827,26 @@ Under the null its 95% CI excludes 0 in 15% of replicates (Section ITT, but its SE is about 4.2 pp. It detects the 5-point harm in only 25% of replicates. -

    -

    +

    +

    2. Aim 2: surgery-specific threats

    - +
    +truth, percentage points. Harm scenario, limb MALE.+---++++-++-- @@ -1825,6 +1859,7 @@ truth, percentage points. Harm scenario, disease composite. + @@ -1833,162 +1868,188 @@ truth, percentage points. Harm scenario, disease composite. - - + + - - - + + + + - - - - - - - - - - - - - + + + - - - - - + + + + + + + + + + + + + + + + + - - + + - + - - - + + + + - - + + + - - - - + + + + - - - - - - - - - - - - - - - - - - - - - - - + - - - - + + + + + + + + + + - - + + + + + + + + + + + + + + + + + + + + + - - - - - - - - + + + + + + + + + - + - - - - - - - - + + + + + + + + + - + + + + + + - - - - - - - + + + + + + + + + + + + + + + + - - - - + + + + - - + + +
    Table 3. Estimation bias (MCSE) against each method’s own -truth, percentage points. Harm scenario, disease composite.
    W3 Style -> outcome W4 Deferral W5 Unmeasured severityWE EHR/registry-like WR Realistic
    CCW, A vs B1 (reference) Ignore physician (cluster SE) 0.2 (0.3)1.1 (0.3)0.2 (0.3)1.2 (0.3)0.3 (0.4) 0.2 (0.3) 0.7 (0.3)-0.0 (0.3)4.4 (0.2)7.1 (0.4)0.1 (0.3)5.5 (0.3)1.6 (0.3)7.9 (0.4)
    CCW, A vs B1 (reference) Random intercept0.2 (0.3)0.9 (0.3)0.4 (0.3)0.1 (0.4)0.1 (0.4)0.0 (0.3)4.4 (0.3)6.4 (0.4)
    CCW, A vs B1 (reference)Within-physician (FE)0.1 (0.4)NA1.0 (0.3)0.3 (0.4) 0.3 (0.4) 0.2 (0.4)-0.2 (0.5)-0.3 (0.4)-0.1 (0.3)4.4 (0.3)6.1 (0.4)NA5.5 (0.3)1.6 (0.3)7.3 (0.4)
    CCW, A vs B1 (reference)Within-physician (FE)0.4 (0.4)0.4 (0.4)0.1 (0.4)0.0 (0.5)-0.3 (0.5)0.2 (0.4)5.6 (0.3)1.6 (0.3)7.0 (0.4)
    Sequential trials, ITT Ignore physician (cluster SE)-0.0 (0.1)1.2 (0.1)-0.0 (0.2)1.3 (0.2) 0.1 (0.1)0.2 (0.1)0.3 (0.1) 1.4 (0.1)-0.1 (0.1)4.9 (0.1)9.3 (0.2)-0.0 (0.1)6.0 (0.1)1.7 (0.1)10.2 (0.2)
    Sequential trials, ITT Random intercept-0.0 (0.2)0.9 (0.1)NA1.0 (0.2) 0.1 (0.1)0.1 (0.2) 0.0 (0.2)0.2 (0.2)-0.2 (0.1)5.0 (0.1)7.4 (0.2)NA6.0 (0.1)1.7 (0.1)8.3 (0.2)
    Sequential trials, ITT Within-physician (FE) -0.3 (0.2)0.2 (0.2)-0.1 (0.2)-0.3 (0.2)-0.5 (0.2)-0.5 (0.1)4.9 (0.1)6.7 (0.2)
    Landmark at 6 monthsIgnore physician (cluster SE)-0.1 (0.2)3.9 (0.4)1.1 (0.3)0.1 (0.8)1.5 (0.7)-0.0 (0.2)2.5 (0.4)1.2 (1.1)
    Landmark at 6 monthsRandom intercept0.3 (0.2) -0.2 (0.2)2.7 (0.3)0.8 (0.3)-0.3 (0.7)0.3 (0.5)-0.3 (0.2)-0.7 (0.2)-0.5 (0.2)6.0 (0.2)1.6 (0.2)7.6 (0.2)
    Landmark at 6 monthsIgnore physician (cluster SE) 0.0 (0.1)2.6 (0.4)-0.5 (1.1)0.9 (0.1)-0.1 (0.1)1.0 (0.4)2.0 (0.4)0.1 (0.1)7.4 (0.1)2.9 (0.1)11.4 (0.5)
    Landmark at 6 monthsRandom interceptNA0.8 (0.1)0.1 (0.1)0.7 (0.4)0.7 (0.4)NA7.5 (0.1)3.0 (0.1)9.8 (0.5)
    Landmark at 6 months Within-physician (FE)-0.7 (0.3)1.5 (0.5)0.8 (0.5)-1.1 (0.7)-1.0 (0.6)-0.4 (0.3)2.5 (0.4)-1.3 (1.1)-0.2 (0.1)0.1 (0.1)-0.2 (0.1)-0.0 (0.4)-0.4 (0.4)-0.3 (0.1)7.5 (0.1)2.9 (0.1)9.2 (0.5)
    Naive ‘ever early PVI’Landmark, + month-5 severity (suppl.) Ignore physician (cluster SE)-0.3 (0.1)0.5 (0.1)-0.3 (0.1)-10.5 (1.0)-6.4 (0.9)-0.2 (0.1)5.5 (0.1)1.5 (1.0)-0.1 (0.2)3.7 (0.4)1.0 (0.3)-0.3 (0.8)2.0 (0.7)0.0 (0.2)3.2 (0.4)-0.3 (0.5)2.1 (1.0)
    Naive ‘ever early PVI’Random interceptIgnore physician (cluster SE)-0.3 (0.1)0.6 (0.1)-0.3 (0.1)-9.8 (1.0)-5.5 (0.9) -0.2 (0.1)0.4 (0.1)-0.2 (0.1)-9.0 (0.9)-6.1 (0.9)-0.1 (0.1)5.6 (0.1)0.6 (1.0)6.7 (0.1)2.3 (0.1)3.2 (0.9)
    Naive ‘ever early PVI’Random interceptNA0.4 (0.1)-0.1 (0.1)-8.5 (0.9)-5.5 (0.8)NA6.8 (0.1)2.4 (0.1)2.2 (0.9)
    Naive ‘ever early PVI’ Within-physician (FE)-0.9 (0.1)-0.7 (0.1) -0.8 (0.1)-11.5 (1.0)-8.9 (0.9)-0.6 (0.2)-0.8 (0.1)-11.0 (1.0)-8.3 (0.9) -1.0 (0.1)5.3 (0.1)-1.0 (1.0)6.6 (0.1)2.0 (0.2)0.6 (1.0)
    +B1), percentage points. Harm scenario, limb MALE.+----+++++---++ @@ -2001,6 +2062,7 @@ B1), percentage points. Harm scenario, disease composite. + @@ -2009,145 +2071,170 @@ B1), percentage points. Harm scenario, disease composite. - - + + - - - + + + + - - - - - - - - - - - - - + + + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + - + - - + + + + - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - + + + + + + + + + + + + + + + + + + + + - - - - - - + - - + + + + + + + + + + + + + + + + + + + + + - - + + - + - - + + +
    Table 3b. Total error against the reference truth (CCW A vs -B1), percentage points. Harm scenario, disease composite.
    W3 Style -> outcome W4 Deferral W5 Unmeasured severityWE EHR/registry-like WR Realistic
    CCW, A vs B1 (reference) Ignore physician (cluster SE) 0.21.10.21.20.3 0.2 0.7-0.04.47.10.15.51.67.9
    CCW, A vs B1 (reference) Random intercept0.20.90.40.10.10.04.46.4
    CCW, A vs B1 (reference)Within-physician (FE)0.1NA1.00.3 0.3 0.2-0.2-0.3-0.14.46.1
    Sequential trials, ITTIgnore physician (cluster SE)0.62.00.90.82.00.55.510.0
    Sequential trials, ITTRandom intercept0.61.70.90.60.80.55.68.2
    Sequential trials, ITTWithin-physician (FE)0.31.00.70.30.10.15.57.4
    Landmark at 6 monthsIgnore physician (cluster SE)2.716.514.13.23.52.45.69.8
    Landmark at 6 monthsRandom intercept2.715.413.72.92.22.45.68.1
    Landmark at 6 monthsWithin-physician (FE)2.214.213.72.01.02.0NA 5.51.6 7.3
    CCW, A vs B1 (reference)Within-physician (FE)0.40.40.10.0-0.30.25.61.67.0
    Naive ‘ever early PVI’Sequential trials, ITT Ignore physician (cluster SE)1.83.10.72.21.01.1 2.12.13.20.76.72.411.1
    Sequential trials, ITTRandom interceptNA1.91.00.90.8NA6.82.49.2
    Sequential trials, ITTWithin-physician (FE)0.51.30.80.50.00.36.82.38.4
    Landmark at 6 monthsIgnore physician (cluster SE)0.92.51.31.32.30.98.63.612.6
    Landmark at 6 monthsRandom interceptNA2.41.41.11.0NA8.73.711.0
    Landmark at 6 monthsWithin-physician (FE)0.7 1.77.611.81.20.3-0.10.58.73.510.3
    Landmark, + month-5 severity (suppl.)Ignore physician (cluster SE)3.217.014.53.94.23.36.73.010.9
    Naive ‘ever early PVI’Random intercept1.93.02.23.63.5Ignore physician (cluster SE) 1.87.710.93.22.02.33.21.88.84.212.9
    Naive ‘ever early PVI’Random interceptNA3.12.23.63.3NA9.04.311.9
    Naive ‘ever early PVI’ Within-physician (FE) 1.21.91.62.01.5 1.10.70.4 0.97.49.38.83.810.4
    @@ -2177,8 +2264,8 @@ severity dominates.

    3. False alarms under the null (headline for clinicians)

    -

    -

    +

    +

    What it shows.

    • In the clean, skill and deferral worlds, landmark, sequential trials @@ -2201,22 +2288,23 @@ design “detects harm” on MALE in 93–100% of replicates.

    4. Aim 3: do negative controls detect bias?

    - +
    -+--+++++-- @@ -2229,6 +2317,7 @@ in that world. + @@ -2237,54 +2326,58 @@ in that world. - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + + - - - + + + - - + + + - - - - - - - - + + + + + + + + +
    Table 4. Sensitivity / specificity of each negative control for MALE bias > 1 pp. A cell (world × scenario × method × variant) counts as biased when its mean MALE bias exceeds 1 pp; a replicate is flagged when the control’s 95% CI excludes 0. ‘–’: no biased (or no clean) cells in that world.
    W3 Style -> outcome W4 Deferral W5 Unmeasured severityWE EHR/registry-like WR Realistic All worlds
    NCO-1 (hip fracture / pneumonia) –11% / 94%19% / 89%13% / 87%13% / 89%12% / 92%10% / –12% / 88%12% / 90%8% / 91%–8% / 89%7% / 88%2% / 93%26% / –6% / 86%15% / 82%14% / 91%
    NCO-2 (vein ablation) –25% / 78%7% / 75%54% / 45%52% / 26%11% / 74%42% / –67% / 92%48% / 70%28% / 74%–71% / 46%82% / 67%6% / 67%43% / –33% / 87%65% / 55%51% / 67%
    NCE (early low-value procedure) –4% / 94%6% / 96% 5% / 95%9% / 88%–3% / 95% 7% / 94%– 6% / –9% / 93%7% / 94%6% / 92%7% / –6% / 94%
    Any of the three –37% / 72%30% / 65%63% / 36%61% / 20%25% / 65%50% / –73% / 78%57% / 61%37% / 67%–74% / 39%84% / 56%8% / 59%55% / –39% / 67%70% / 46%58% / 59%
    -

    +

    What it shows (provisional, see Q2).

    • NCO-1 almost never flags (sensitivity about 12%), even with @@ -2306,7 +2399,7 @@ with clean negative controls still have a median |MALE bias| of 8.5 pp

      5. Simulated RCTs

      - +@@ -2334,9 +2427,9 @@ with clean negative controls still have a median |MALE bias| of 8.5 pp - + - + @@ -2344,519 +2437,519 @@ with clean negative controls still have a median |MALE bias| of 8.5 pp - + - - - - - - - - - - - - - - - - - - - - - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + - - - - - - - - - - - + + - - - - - - - - - - - - - - - - - - - - - - + - + + - - - - - - + + + + + + - - - - - - - - + + + + + + + + - + - - - + + + - - - - - - - - - - - - - - - - - - - - - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + - - - + - + - + - - + + - + - + - - - + + + - + - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - + + + + + + + + + + + + + + + + + + + + + - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + @@ -2864,111 +2957,191 @@ with clean negative controls still have a median |MALE bias| of 8.5 pp - - - - + + + + - - - - + + + + - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - - + + - + - - - + + + - - - + + + - - - - - + + + + + - + - + + + + + + + + + + + + + + + + + + + + + - - - - - - - - - - - - - - - - - - - - - - - - - + + + + +
      Table 5. Simulated trials, disease composite (pp).Table 5. Simulated trials, limb MALE (pp).
      W0 Clean benefit_harm Ideal RCT, as-treated3.13.6 NA4.95.7 0.3 100%
      W0 Clean benefit_harm Realistic RCT, as-treated3.13.6 NA4.74.119%
      W0 Cleanbenefit_harmIdeal pragmatic RCT, ITT3.13.93.90.3100%
      W0 Cleanbenefit_harmRealistic RCT (n = 240), ITT3.13.93.85.0 4.3 13%
      W0 CleanharmIdeal RCT, as-treated5.1NA6.50.3100%
      W0 CleanharmRealistic RCT, as-treated5.1NA6.74.029%
      W0 CleanharmIdeal pragmatic RCT, ITT5.15.25.20.3100%
      W0 CleanharmRealistic RCT (n = 240), ITT5.15.35.54.325%
      W1 Skillbenefit_harmIdeal RCT, as-treated7.9NA10.70.8100%
      W1 Skillbenefit_harmRealistic RCT, as-treated7.9NA-2.04.010%
      W1 Skill benefit_harm Ideal pragmatic RCT, ITT7.98.78.70.7100%
      W1 Skillbenefit_harmRealistic RCT (n = 240), ITT7.9-1.4-2.14.09%
      W1 SkillharmIdeal RCT, as-treated7.2NA9.10.5100%
      W1 SkillharmRealistic RCT, as-treated7.2NA2.34.46%
      W1 SkillharmIdeal pragmatic RCT, ITT7.27.37.30.4100%
      W1 SkillharmRealistic RCT (n = 240), ITT7.22.12.04.58%
      W1 Skill (rho 0)benefit_harmIdeal RCT, as-treated7.9NA10.70.7100%
      W1 Skill (rho 0)benefit_harmRealistic RCT, as-treated7.9NA-1.73.49%
      W1 Skill (rho 0)benefit_harmIdeal pragmatic RCT, ITT7.98.88.80.6100%
      W1 Skill (rho 0)benefit_harmRealistic RCT (n = 240), ITT7.9-1.1-1.63.46%
      W1 Skill (rho 0)harmIdeal RCT, as-treated7.1NA8.90.4100%
      W1 Skill (rho 0)harmRealistic RCT, as-treated7.1NA2.14.710%
      W1 Skill (rho 0)harmIdeal pragmatic RCT, ITT7.17.37.30.4100%
      W1 Skill (rho 0)harmRealistic RCT (n = 240), ITT7.12.31.84.712%
      W2 Stylebenefit_harmIdeal RCT, as-treated3.0NA4.90.3100%
      W2 Stylebenefit_harmRealistic RCT, as-treated3.0NA4.84.518%
      W2 Stylebenefit_harmIdeal pragmatic RCT, ITT3.03.94.00.3100%
      W2 Stylebenefit_harmRealistic RCT (n = 240), ITT3.03.94.34.318%
      W2 StyleharmIdeal RCT, as-treated5.1NA6.40.3100%
      W2 StyleharmRealistic RCT, as-treated5.1NA5.93.64.6 4.625%
      W2 StyleharmIdeal pragmatic RCT, ITT5.15.25.2 0.3 100%
      W2 StyleharmW0 Cleanbenefit_harm Realistic RCT (n = 240), ITT5.15.45.34.522%
      W3 Style -> outcomebenefit_harmIdeal RCT, as-treated3.0NA4.80.3100%
      W3 Style -> outcomebenefit_harmRealistic RCT, as-treated3.0NA3.6 4.8 4.426%4.311%
      W3 Style -> outcomebenefit_harmIdeal pragmatic RCT, ITT3.03.83.9W0 CleanharmIdeal RCT, as-treated6.2NA7.8 0.3 100%
      W3 Style -> outcomebenefit_harmRealistic RCT (n = 240), ITT3.03.94.04.015%W0 CleanharmRealistic RCT, as-treated6.2NA8.55.136%
      W3 Style -> outcomeW0 Clean harmIdeal RCT, as-treated5.0NAIdeal pragmatic RCT, ITT6.26.3 6.3 0.3 100%
      W3 Style -> outcomeharmRealistic RCT, as-treated5.0NA6.04.631%
      W3 Style -> outcomeharmIdeal pragmatic RCT, ITT5.05.05.10.3100%
      W3 Style -> outcomeW0 Clean harm Realistic RCT (n = 240), ITT5.05.35.94.428%
      W4 Deferralbenefit_harmIdeal RCT, as-treated3.3NA5.10.3100%
      W4 Deferralbenefit_harmRealistic RCT, as-treated3.3NA4.64.817%
      W4 Deferralbenefit_harmIdeal pragmatic RCT, ITT3.34.14.10.3100%
      W4 Deferralbenefit_harmRealistic RCT (n = 240), ITT3.34.04.14.717%
      W4 DeferralharmIdeal RCT, as-treated4.8NA 6.20.3100%
      W4 DeferralharmRealistic RCT, as-treated4.8NA6.44.325%
      W4 DeferralharmIdeal pragmatic RCT, ITT4.84.94.90.3100%
      W4 DeferralharmRealistic RCT (n = 240), ITT4.86.67.3 5.25.33.919%32%
      W5 Unmeasured severityW1 Skill benefit_harm Ideal RCT, as-treated3.18.6 NA4.90.311.50.8 100%
      W5 Unmeasured severityW1 Skill benefit_harm Realistic RCT, as-treated3.18.6 NA4.64.318%-2.54.48%
      W5 Unmeasured severityW1 Skill benefit_harm Ideal pragmatic RCT, ITT3.13.93.98.69.49.40.7100%
      W1 Skillbenefit_harmRealistic RCT (n = 240), ITT8.6-1.8-2.34.47%
      W1 SkillharmIdeal RCT, as-treated8.4NA10.50.5100%
      W1 SkillharmRealistic RCT, as-treated8.4NA3.04.812%
      W1 SkillharmIdeal pragmatic RCT, ITT8.48.58.50.5100%
      W1 SkillharmRealistic RCT (n = 240), ITT8.42.72.95.011%
      W1 Skill (rho 0)benefit_harmIdeal RCT, as-treated8.6NA11.50.7100%
      W1 Skill (rho 0)benefit_harmRealistic RCT, as-treated8.6NA-2.24.26%
      W1 Skill (rho 0)benefit_harmIdeal pragmatic RCT, ITT8.69.59.60.6100%
      W1 Skill (rho 0)benefit_harmRealistic RCT (n = 240), ITT8.6-1.5-2.04.56%
      W1 Skill (rho 0)harmIdeal RCT, as-treated8.4NA10.30.4100%
      W1 Skill (rho 0)harmRealistic RCT, as-treated8.4NA2.35.111%
      W1 Skill (rho 0)harmIdeal pragmatic RCT, ITT8.48.58.50.4100%
      W1 Skill (rho 0)harmRealistic RCT (n = 240), ITT8.42.81.84.86%
      W2 Stylebenefit_harmIdeal RCT, as-treated3.6NA5.7 0.3 100%
      W5 Unmeasured severityW2 Stylebenefit_harmRealistic RCT, as-treated3.6NA4.74.914%
      W2 Stylebenefit_harmIdeal pragmatic RCT, ITT3.64.64.70.3100%
      W2 Style benefit_harm Realistic RCT (n = 240), ITT3.13.93.93.64.84.4 4.3 13%
      W2 StyleharmIdeal RCT, as-treated6.2NA7.70.3100%
      W2 StyleharmRealistic RCT, as-treated6.2NA7.24.423%
      W2 StyleharmIdeal pragmatic RCT, ITT6.26.36.30.3100%
      W2 StyleharmRealistic RCT (n = 240), ITT6.26.76.94.423%
      W3 Style -> outcomebenefit_harmIdeal RCT, as-treated3.5NA5.70.4100%
      W3 Style -> outcomebenefit_harmRealistic RCT, as-treated3.5NA5.55.524%
      W3 Style -> outcomebenefit_harmIdeal pragmatic RCT, ITT3.54.54.60.4100%
      W3 Style -> outcomebenefit_harmRealistic RCT (n = 240), ITT3.54.85.15.326%
      W3 Style -> outcomeharmIdeal RCT, as-treated6.1NA7.60.4100%
      W3 Style -> outcomeharmRealistic RCT, as-treated6.1NA6.74.727%
      W3 Style -> outcomeharmIdeal pragmatic RCT, ITT6.16.16.20.4100%
      W3 Style -> outcomeharmRealistic RCT (n = 240), ITT6.16.66.74.730%
      W4 Deferralbenefit_harmIdeal RCT, as-treated3.9NA6.00.3100%
      W4 Deferralbenefit_harmRealistic RCT, as-treated3.9NA5.84.720%
      W4 Deferralbenefit_harmIdeal pragmatic RCT, ITT3.94.94.80.3100%
      W4 Deferralbenefit_harmRealistic RCT (n = 240), ITT3.94.95.14.517%
      W4 DeferralharmIdeal RCT, as-treated5.8NA7.50.3100%
      W4 DeferralharmRealistic RCT, as-treated5.8NA6.95.128%
      W4 DeferralharmIdeal pragmatic RCT, ITT5.86.06.00.3100%
      W4 DeferralharmRealistic RCT (n = 240), ITT5.86.45.74.622%
      W5 Unmeasured severitybenefit_harmIdeal RCT, as-treated3.6NA5.70.3100%
      W5 Unmeasured severitybenefit_harmRealistic RCT, as-treated3.6NA6.24.724%
      W5 Unmeasured severitybenefit_harmIdeal pragmatic RCT, ITT3.64.64.60.3100%
      W5 Unmeasured severitybenefit_harmRealistic RCT (n = 240), ITT3.64.85.64.320%
      W5 Unmeasured severity harm Ideal RCT, as-treated5.16.2 NA6.47.7 0.4 100%
      W5 Unmeasured severity harm Realistic RCT, as-treated5.1NA 6.24.829%NA7.15.127%
      W5 Unmeasured severity harm Ideal pragmatic RCT, ITT5.15.25.10.36.26.36.20.4 100%
      W5 Unmeasured severity harm Realistic RCT (n = 240), ITT5.15.35.94.733%6.26.66.44.825%
      WE EHR/registry-likebenefit_harmIdeal RCT, as-treated3.6NA5.70.3100%
      WE EHR/registry-likebenefit_harmRealistic RCT, as-treated3.6NA5.54.917%
      WE EHR/registry-likebenefit_harmIdeal pragmatic RCT, ITT3.64.64.60.3100%
      WE EHR/registry-likebenefit_harmRealistic RCT (n = 240), ITT3.64.84.94.618%
      WE EHR/registry-likeharmIdeal RCT, as-treated6.2NA7.80.4100%
      WE EHR/registry-likeharmRealistic RCT, as-treated6.2NA7.04.829%
      WE EHR/registry-likeharmIdeal pragmatic RCT, ITT6.26.36.30.3100%
      WE EHR/registry-likeharmRealistic RCT (n = 240), ITT6.26.65.85.024%
      WR Realistic benefit_harm Ideal RCT, as-treated7.78.4 NA10.60.811.50.9 100%
      WR Realistic benefit_harm Realistic RCT, as-treated7.78.4 NA-1.63.78%-2.54.410%
      WR Realistic benefit_harm Ideal pragmatic RCT, ITT7.7 8.48.40.69.19.10.7 100%
      WR Realistic benefit_harm Realistic RCT (n = 240), ITT7.7-1.4-1.33.76%8.4-1.8-2.24.29%
      WR Realistic harm Ideal RCT, as-treated6.98.2 NA8.810.30.6100%
      WR RealisticharmRealistic RCT, as-treated8.2NA2.54.710%
      WR RealisticharmIdeal pragmatic RCT, ITT8.28.28.2 0.5 100%
      WR Realistic harmRealistic RCT, as-treated6.9NA1.84.411%
      WR RealisticharmIdeal pragmatic RCT, ITT6.97.07.00.4100%
      WR Realisticharm Realistic RCT (n = 240), ITT6.92.11.74.29%8.22.72.44.16%
      @@ -3035,25 +3208,279 @@ of SEs (D28). Model-to-empirical SE ratios are near 1 for CCW (0.96–1.07, except WR 0.87). They are 0.83–0.92 for landmark and sequential trials in W0, and 0.58 for landmark in W1.

      +
      +

      7. Standard errors: physician-cluster bootstrap check (D28, +D53)

      + + +++++++++++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Table 6. Disease composite. Bootstrap: 50 physician-cluster +resamples on each of replicates 1-20.
      WorldScenarioDesignEmpirical SE (100 reps)Bootstrap SEModel SE, clusterModel SE, patientBootstrap / empiricalCluster / empirical
      W0harmccw3.003.443.433.361.151.14
      W0harmlandmark1.551.461.481.490.940.95
      W0harmlandmark_m54.083.173.183.180.780.78
      W0harmnaive1.631.521.561.560.930.95
      W0harmseq1.501.381.411.430.920.94
      W0nullccw2.752.272.182.180.830.80
      W0nulllandmark1.221.141.141.140.940.94
      W0nulllandmark_m51.201.131.131.130.940.94
      W0nullnaive1.331.241.241.230.930.93
      W0nullseq1.201.111.121.110.930.93
      WRharmccw4.133.683.603.440.890.87
      WRharmlandmark1.781.751.791.540.981.01
      WRharmlandmark_m51.801.781.821.570.991.02
      WRharmnaive1.711.741.791.521.021.05
      WRharmseq1.731.751.801.531.011.04
      WRnullccw2.912.992.872.891.030.99
      WRnulllandmark1.361.251.221.240.920.90
      WRnulllandmark_m51.421.271.231.270.900.87
      WRnullnaive1.401.271.241.260.900.88
      WRnullseq1.341.231.211.250.920.90
      +

      Supplement: full performance table

      - +
      --------++++++++--++ @@ -3114,23 +3541,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -3143,12 +3553,29 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - + + @@ -3165,34 +3592,34 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + @@ -3200,16 +3627,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - + + + + + - + @@ -3250,23 +3677,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -3279,7 +3689,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3296,7 +3706,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3313,23 +3723,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -3386,23 +3779,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -3415,7 +3791,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3432,7 +3808,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3449,7 +3825,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3466,7 +3842,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3483,11 +3859,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -3500,11 +3876,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -3517,44 +3893,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -3568,7 +3978,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3585,7 +3995,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3602,7 +4012,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3619,7 +4029,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3636,7 +4046,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3653,7 +4063,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3670,7 +4080,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3687,7 +4097,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3704,7 +4114,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3721,7 +4131,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3738,7 +4148,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3755,7 +4165,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3772,7 +4182,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3789,7 +4199,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3806,7 +4216,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3823,11 +4233,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -3840,11 +4250,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -3857,44 +4267,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + @@ -3908,7 +4352,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3925,7 +4369,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3942,7 +4386,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3959,7 +4403,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3976,7 +4420,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -3993,7 +4437,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4010,7 +4454,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4027,7 +4471,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4044,7 +4488,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4061,7 +4505,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4078,7 +4522,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4095,7 +4539,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4112,7 +4556,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4129,7 +4573,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4146,7 +4590,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4163,11 +4607,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -4180,11 +4624,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -4197,44 +4641,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -4248,7 +4726,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4265,7 +4743,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4282,7 +4760,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4299,7 +4777,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4316,7 +4794,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4333,7 +4811,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4350,7 +4828,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4367,7 +4845,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4384,7 +4862,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4401,7 +4879,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4418,7 +4896,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4435,7 +4913,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4452,7 +4930,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4469,7 +4947,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4486,7 +4964,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4503,11 +4981,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -4520,11 +4998,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -4537,44 +5015,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -4588,7 +5100,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4605,7 +5117,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4622,7 +5134,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4639,7 +5151,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4656,7 +5168,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4673,7 +5185,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4690,7 +5202,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4707,7 +5219,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4724,7 +5236,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4741,7 +5253,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4758,7 +5270,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4775,7 +5287,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4792,7 +5304,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4809,23 +5321,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -4847,7 +5342,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4864,7 +5359,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4882,39 +5377,56 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -4928,7 +5440,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -4945,23 +5457,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -5018,23 +5513,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -5047,7 +5525,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -5064,7 +5542,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -5081,23 +5559,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -5187,7 +5648,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -5204,7 +5665,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -5222,14 +5683,14 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - + + + + @@ -5239,16 +5700,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -5458,6 +5953,380 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -5527,7 +6396,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -5544,7 +6413,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -5562,15 +6431,49 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - + @@ -5580,15 +6483,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + @@ -5834,23 +6737,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -5863,11 +6749,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -5880,11 +6766,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -5897,22 +6783,39 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + @@ -5920,16 +6823,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - + + + + + - + @@ -5970,23 +6873,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -5999,7 +6885,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6016,7 +6902,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6033,23 +6919,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -6106,23 +6975,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -6135,7 +6987,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6152,7 +7004,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6169,7 +7021,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6186,7 +7038,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6203,11 +7055,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -6220,11 +7072,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -6237,44 +7089,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -6288,7 +7174,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6305,7 +7191,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6322,7 +7208,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6339,7 +7225,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6356,7 +7242,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6373,7 +7259,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6390,7 +7276,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6407,7 +7293,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6424,7 +7310,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6441,7 +7327,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6458,7 +7344,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6475,7 +7361,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6492,7 +7378,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6509,7 +7395,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6526,7 +7412,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6543,11 +7429,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -6560,11 +7446,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -6577,44 +7463,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -6628,7 +7548,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6645,7 +7565,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6662,7 +7582,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6679,7 +7599,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6696,7 +7616,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6713,7 +7633,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6730,7 +7650,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6747,7 +7667,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6764,7 +7684,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6781,7 +7701,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6798,7 +7718,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6815,7 +7735,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6832,7 +7752,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6849,7 +7769,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6866,7 +7786,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6883,11 +7803,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -6900,11 +7820,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -6917,44 +7837,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - + + + + + - + - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + @@ -6968,7 +7922,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -6985,7 +7939,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7002,7 +7956,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7019,7 +7973,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7036,7 +7990,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7053,7 +8007,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7070,7 +8024,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7087,7 +8041,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7104,7 +8058,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7121,7 +8075,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7138,7 +8092,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7155,7 +8109,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7172,7 +8126,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7189,7 +8143,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7206,7 +8160,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7223,11 +8177,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -7240,11 +8194,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -7257,44 +8211,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -7308,7 +8296,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7325,7 +8313,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7342,7 +8330,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7359,7 +8347,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7376,7 +8364,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7393,7 +8381,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7410,7 +8398,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7427,7 +8415,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7444,7 +8432,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7461,7 +8449,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7478,7 +8466,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7495,7 +8483,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7512,7 +8500,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7529,23 +8517,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -7567,7 +8538,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7584,7 +8555,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7602,39 +8573,56 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - + + + + + + - - - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -7648,7 +8636,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7665,23 +8653,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -7738,23 +8709,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -7767,7 +8721,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7784,7 +8738,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7801,23 +8755,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -7907,7 +8844,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7924,7 +8861,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -7942,16 +8879,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - + + @@ -7960,15 +8931,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + @@ -8178,6 +9149,380 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -8247,7 +9592,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8264,7 +9609,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8282,16 +9627,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - + + @@ -8300,15 +9679,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + @@ -8554,23 +9933,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -8583,12 +9945,29 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - + + @@ -8605,16 +9984,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - + + + + @@ -8622,16 +10001,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - + + + + - + @@ -8640,16 +10019,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - + - - - + + + - + @@ -8690,23 +10069,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -8719,7 +10081,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8736,7 +10098,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8753,23 +10115,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -8826,23 +10171,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -8855,7 +10183,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8872,7 +10200,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8889,7 +10217,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8906,7 +10234,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -8923,11 +10251,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -8940,11 +10268,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -8957,44 +10285,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - + - - - - - + + + + + - + + - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -9008,7 +10370,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9025,7 +10387,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9042,7 +10404,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9059,7 +10421,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9076,7 +10438,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9093,7 +10455,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9110,7 +10472,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9127,7 +10489,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9144,7 +10506,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9161,7 +10523,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9178,7 +10540,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9195,7 +10557,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9212,7 +10574,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9229,7 +10591,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9246,7 +10608,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9263,11 +10625,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -9280,11 +10642,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -9297,21 +10659,38 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - + - - - - + + + + @@ -9319,19 +10698,36 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - + + + + + + + + + + + + + + + + + + - + - + - + @@ -9348,7 +10744,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9365,7 +10761,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9382,7 +10778,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9399,7 +10795,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9416,7 +10812,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9433,7 +10829,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9450,7 +10846,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9467,7 +10863,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9484,7 +10880,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9501,7 +10897,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9518,7 +10914,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9535,7 +10931,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9552,7 +10948,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9569,7 +10965,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9586,7 +10982,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9603,11 +10999,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -9620,11 +11016,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -9637,41 +11033,75 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - + + - + - + - + - - + + - - - + + + - + - + @@ -9688,7 +11118,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9705,7 +11135,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9722,7 +11152,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9739,7 +11169,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9756,7 +11186,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9773,7 +11203,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9790,7 +11220,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9807,7 +11237,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9824,7 +11254,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9841,7 +11271,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9858,7 +11288,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9875,7 +11305,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9892,7 +11322,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9909,7 +11339,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9926,7 +11356,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -9943,11 +11373,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -9960,11 +11390,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -9977,41 +11407,75 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - + + - - - - - - - - + + + + + + + - - - + + + - + + + + + + + + + + + + + + + + + + - + - + @@ -10028,7 +11492,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -10045,7 +11509,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -10062,7 +11526,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -10079,7 +11543,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -10096,7 +11560,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -10113,7 +11577,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -10130,7 +11594,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

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      - - - - - - - - - - - - - - - - - @@ -11303,11 +22729,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -11320,11 +22746,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -11337,22 +22763,39 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - + + + + + + @@ -11360,16 +22803,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - - + + + + + + + @@ -11410,23 +22853,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -11439,7 +22865,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11456,7 +22882,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11473,23 +22899,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -11546,23 +22955,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -11575,7 +22967,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11592,7 +22984,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11609,7 +23001,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11626,7 +23018,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11643,11 +23035,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -11660,11 +23052,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -11677,44 +23069,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

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      - + @@ -11745,7 +23171,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11762,7 +23188,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11779,7 +23205,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11796,7 +23222,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11813,7 +23239,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11830,7 +23256,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11847,7 +23273,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11864,7 +23290,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11881,7 +23307,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11898,7 +23324,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11915,7 +23341,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11932,7 +23358,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11949,7 +23375,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11966,7 +23392,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -11983,11 +23409,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -12000,11 +23426,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -12017,21 +23443,38 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - + + + + + + @@ -12039,22 +23482,39 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -12068,7 +23528,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12085,7 +23545,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12102,7 +23562,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12119,7 +23579,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12136,7 +23596,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12153,7 +23613,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12170,7 +23630,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12187,7 +23647,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12204,7 +23664,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12221,7 +23681,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12238,7 +23698,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12255,7 +23715,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12272,7 +23732,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12289,7 +23749,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12306,7 +23766,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12323,11 +23783,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -12340,11 +23800,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -12357,44 +23817,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

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      - + @@ -12425,7 +23919,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12442,7 +23936,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12459,7 +23953,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12476,7 +23970,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12493,7 +23987,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12510,7 +24004,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12527,7 +24021,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12544,7 +24038,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12561,7 +24055,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12578,7 +24072,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12595,7 +24089,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12612,7 +24106,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12629,7 +24123,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12646,7 +24140,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12663,11 +24157,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -12680,11 +24174,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -12697,44 +24191,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

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      - + @@ -12765,7 +24293,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12782,7 +24310,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12799,7 +24327,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12816,7 +24344,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12833,7 +24361,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12850,7 +24378,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12867,7 +24395,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12884,7 +24412,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12901,7 +24429,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12918,7 +24446,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12935,7 +24463,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12952,7 +24480,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -12969,23 +24497,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -13007,7 +24518,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13024,7 +24535,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13042,39 +24553,56 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -13088,7 +24616,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13105,23 +24633,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -13178,23 +24689,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -13207,7 +24701,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13224,7 +24718,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13241,23 +24735,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -13347,7 +24824,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13364,7 +24841,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13382,14 +24859,48 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -13400,15 +24911,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - + + + - - + + @@ -13618,6 +25129,380 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -13687,7 +25572,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13704,7 +25589,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -13722,15 +25607,49 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -13740,15 +25659,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + @@ -13994,23 +25913,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -14023,11 +25925,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -14040,11 +25942,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -14057,21 +25959,38 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - + + + + + + @@ -14080,16 +25999,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - - + + + + + + + @@ -14130,23 +26049,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -14159,7 +26061,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14176,7 +26078,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14193,23 +26095,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -14266,23 +26151,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -14295,7 +26163,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14312,7 +26180,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14329,7 +26197,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14346,7 +26214,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14363,11 +26231,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -14380,11 +26248,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -14397,44 +26265,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + @@ -14448,7 +26350,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14465,7 +26367,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14482,7 +26384,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14499,7 +26401,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14516,7 +26418,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14533,7 +26435,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14550,7 +26452,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14567,7 +26469,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14584,7 +26486,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14601,7 +26503,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14618,7 +26520,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14635,7 +26537,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14652,7 +26554,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14669,7 +26571,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14686,7 +26588,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14703,11 +26605,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -14720,11 +26622,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -14737,44 +26639,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - + + + + + + - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + @@ -14788,7 +26724,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14805,7 +26741,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14822,7 +26758,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14839,7 +26775,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14856,7 +26792,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14873,7 +26809,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14890,7 +26826,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14907,7 +26843,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14924,7 +26860,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14941,7 +26877,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14958,7 +26894,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14975,7 +26911,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -14992,7 +26928,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15009,7 +26945,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15026,7 +26962,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15043,11 +26979,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -15060,11 +26996,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -15077,44 +27013,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -15128,7 +27098,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15145,7 +27115,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15162,7 +27132,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15179,7 +27149,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15196,7 +27166,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15213,7 +27183,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15230,7 +27200,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15247,7 +27217,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15264,7 +27234,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15281,7 +27251,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15298,7 +27268,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15315,7 +27285,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15332,7 +27302,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15349,7 +27319,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15366,7 +27336,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15383,11 +27353,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -15400,11 +27370,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -15417,44 +27387,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -15468,7 +27472,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15485,7 +27489,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15502,7 +27506,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15519,7 +27523,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15536,7 +27540,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15553,7 +27557,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15570,7 +27574,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15587,7 +27591,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15604,7 +27608,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15621,7 +27625,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15638,7 +27642,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15655,7 +27659,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15672,7 +27676,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15689,23 +27693,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -15727,7 +27714,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15744,7 +27731,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15762,36 +27749,53 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + - - + + - - - - - + + + + - + + - + @@ -15808,7 +27812,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15825,23 +27829,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -15898,23 +27885,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -15927,7 +27897,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15944,7 +27914,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -15961,23 +27931,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -16067,7 +28020,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -16084,7 +28037,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -16102,16 +28055,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -16120,15 +28107,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + @@ -16338,6 +28325,380 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -16407,7 +28768,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -16424,7 +28785,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -16442,16 +28803,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - + + + + + + + + + + + + + + + + + + + + + - + + + + + + + + + + + + + + + + + + @@ -16460,15 +28855,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - + + + + + @@ -16714,23 +29109,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -16743,11 +29121,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -16760,11 +29138,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -16777,21 +29155,38 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - + + + + + + @@ -16800,13 +29195,13 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - + + + + @@ -16850,23 +29245,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -16879,7 +29257,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -16896,7 +29274,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -16913,23 +29291,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -16986,23 +29347,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -17015,7 +29359,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17032,7 +29376,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17049,7 +29393,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17066,7 +29410,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17083,11 +29427,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -17100,11 +29444,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -17117,21 +29461,38 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - + + + + - + @@ -17139,15 +29500,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - + + - - - + + @@ -17155,6 +29516,23 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + @@ -17168,7 +29546,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17185,7 +29563,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17202,7 +29580,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17219,7 +29597,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17236,7 +29614,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17253,7 +29631,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17270,7 +29648,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17287,7 +29665,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17304,7 +29682,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17321,7 +29699,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17338,7 +29716,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17355,7 +29733,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17372,7 +29750,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17389,7 +29767,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17406,7 +29784,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17423,11 +29801,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -17440,11 +29818,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -17457,20 +29835,37 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - + + + + + @@ -17479,19 +29874,36 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - + + - + - + @@ -17508,7 +29920,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17525,7 +29937,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17542,7 +29954,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17559,7 +29971,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17576,7 +29988,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17593,7 +30005,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17610,7 +30022,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17627,7 +30039,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17644,7 +30056,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17661,7 +30073,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17678,7 +30090,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17695,7 +30107,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17712,7 +30124,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17729,7 +30141,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17746,7 +30158,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17763,11 +30175,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -17780,11 +30192,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -17797,20 +30209,37 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - + + + + + @@ -17819,22 +30248,39 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + @@ -17848,7 +30294,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17865,7 +30311,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17882,7 +30328,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17899,7 +30345,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17916,7 +30362,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17933,7 +30379,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17950,7 +30396,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17967,7 +30413,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -17984,7 +30430,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18001,7 +30447,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18018,7 +30464,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18035,7 +30481,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18052,7 +30498,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18069,7 +30515,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18086,7 +30532,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18103,11 +30549,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -18120,11 +30566,11 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + - + @@ -18137,44 +30583,78 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + - - - + + + - - - - - - - + + + + + + + - - - + + + - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + @@ -18188,7 +30668,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18205,7 +30685,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18222,7 +30702,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18239,7 +30719,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18256,7 +30736,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18273,7 +30753,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18290,7 +30770,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18307,7 +30787,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18324,7 +30804,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18341,7 +30821,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18358,7 +30838,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18375,7 +30855,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18392,7 +30872,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18409,23 +30889,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -18447,7 +30910,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18464,7 +30927,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18482,16 +30945,16 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + + - - - - - + + + + @@ -18499,15 +30962,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - + + + + + @@ -18515,6 +30978,23 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + @@ -18528,7 +31008,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18545,23 +31025,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -18618,23 +31081,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -18647,7 +31093,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18664,7 +31110,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18681,23 +31127,6 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - - - - - - - - - - - - - - - @@ -18787,7 +31216,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18804,7 +31233,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -18822,16 +31251,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - + - - + + - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -18840,15 +31303,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + @@ -19058,6 +31521,380 @@ sequential trials in W0, and 0.58 for landmark in W1.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -19127,7 +31964,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -19144,7 +31981,7 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - + @@ -19162,16 +31999,50 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - - + + + - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + @@ -19180,15 +32051,15 @@ sequential trials in W0, and 0.58 for landmark in W1.

      - - + + - - - - - - + + + + + + diff --git a/simulations/run_experiment.R b/simulations/run_experiment.R index b8a0f69..dfa54b9 100644 --- a/simulations/run_experiment.R +++ b/simulations/run_experiment.R @@ -2,6 +2,8 @@ # Usage: Rscript simulations/run_experiment.R main [--scale draft] [--cores 10] [--worlds W0,W2] pkgload::load_all("pvisim", quiet = TRUE) suppressPackageStartupMessages(library(data.table)) +# one thread per worker: parallelism comes from mclapply across replicates +setDTthreads(1); fixest::setFixest_nthreads(1) a <- commandArgs(TRUE) opt <- function(flag, default) { i <- match(flag, a); if (is.na(i)) default else a[i + 1] } grid_name <- a[1] diff --git a/simulations/truths/risk_curves.csv b/simulations/truths/risk_curves.csv index 7e44f71..5b003d5 100644 --- a/simulations/truths/risk_curves.csv +++ b/simulations/truths/risk_curves.csv @@ -1,4 +1,64 @@ world,scenario,policy,outcome,month,cuminc +W0,null,natural,limb,1,0.002136 +W0,null,natural,limb,2,0.004251 +W0,null,natural,limb,3,0.006339 +W0,null,natural,limb,4,0.008554 +W0,null,natural,limb,5,0.010697 +W0,null,natural,limb,6,0.01286 +W0,null,natural,limb,7,0.014969 +W0,null,natural,limb,8,0.017142 +W0,null,natural,limb,9,0.019353 +W0,null,natural,limb,10,0.021564 +W0,null,natural,limb,11,0.023771 +W0,null,natural,limb,12,0.026 +W0,null,natural,limb,13,0.028155 +W0,null,natural,limb,14,0.030402 +W0,null,natural,limb,15,0.032654 +W0,null,natural,limb,16,0.034846 +W0,null,natural,limb,17,0.037111 +W0,null,natural,limb,18,0.039376 +W0,null,natural,limb,19,0.041643 +W0,null,natural,limb,20,0.043992 +W0,null,natural,limb,21,0.046253 +W0,null,natural,limb,22,0.048642 +W0,null,natural,limb,23,0.050931 +W0,null,natural,limb,24,0.053203 +W0,null,natural,limb,25,0.055551 +W0,null,natural,limb,26,0.057856 +W0,null,natural,limb,27,0.060133 +W0,null,natural,limb,28,0.062424 +W0,null,natural,limb,29,0.064833 +W0,null,natural,limb,30,0.06728 +W0,null,natural,limb,31,0.069623 +W0,null,natural,limb,32,0.071949 +W0,null,natural,limb,33,0.074342 +W0,null,natural,limb,34,0.076792 +W0,null,natural,limb,35,0.079102 +W0,null,natural,limb,36,0.081519 +W0,null,natural,limb,37,0.083955 +W0,null,natural,limb,38,0.086468 +W0,null,natural,limb,39,0.088943 +W0,null,natural,limb,40,0.091319 +W0,null,natural,limb,41,0.093712 +W0,null,natural,limb,42,0.09605 +W0,null,natural,limb,43,0.098432 +W0,null,natural,limb,44,0.100858 +W0,null,natural,limb,45,0.103252 +W0,null,natural,limb,46,0.105612 +W0,null,natural,limb,47,0.107995 +W0,null,natural,limb,48,0.1105 +W0,null,natural,limb,49,0.112922 +W0,null,natural,limb,50,0.115386 +W0,null,natural,limb,51,0.117777 +W0,null,natural,limb,52,0.120172 +W0,null,natural,limb,53,0.122653 +W0,null,natural,limb,54,0.125106 +W0,null,natural,limb,55,0.127626 +W0,null,natural,limb,56,0.13009 +W0,null,natural,limb,57,0.132539 +W0,null,natural,limb,58,0.135057 +W0,null,natural,limb,59,0.137388 +W0,null,natural,limb,60,0.139885 W0,null,natural,male,1,0.002136 W0,null,natural,male,2,0.004277 W0,null,natural,male,3,0.006413 @@ -119,6 +179,66 @@ W0,null,natural,disease,57,0.102043 W0,null,natural,disease,58,0.104089 W0,null,natural,disease,59,0.105951 W0,null,natural,disease,60,0.107885 +W0,null,A,limb,1,0.002136 +W0,null,A,limb,2,0.004251 +W0,null,A,limb,3,0.006339 +W0,null,A,limb,4,0.008554 +W0,null,A,limb,5,0.010697 +W0,null,A,limb,6,0.01286 +W0,null,A,limb,7,0.014969 +W0,null,A,limb,8,0.017142 +W0,null,A,limb,9,0.019353 +W0,null,A,limb,10,0.021564 +W0,null,A,limb,11,0.023771 +W0,null,A,limb,12,0.026 +W0,null,A,limb,13,0.028155 +W0,null,A,limb,14,0.030402 +W0,null,A,limb,15,0.032654 +W0,null,A,limb,16,0.034846 +W0,null,A,limb,17,0.037111 +W0,null,A,limb,18,0.039376 +W0,null,A,limb,19,0.041643 +W0,null,A,limb,20,0.043992 +W0,null,A,limb,21,0.046253 +W0,null,A,limb,22,0.048642 +W0,null,A,limb,23,0.050931 +W0,null,A,limb,24,0.053203 +W0,null,A,limb,25,0.055551 +W0,null,A,limb,26,0.057856 +W0,null,A,limb,27,0.060133 +W0,null,A,limb,28,0.062424 +W0,null,A,limb,29,0.064833 +W0,null,A,limb,30,0.06728 +W0,null,A,limb,31,0.069623 +W0,null,A,limb,32,0.071949 +W0,null,A,limb,33,0.074342 +W0,null,A,limb,34,0.076792 +W0,null,A,limb,35,0.079102 +W0,null,A,limb,36,0.081519 +W0,null,A,limb,37,0.083955 +W0,null,A,limb,38,0.086468 +W0,null,A,limb,39,0.088943 +W0,null,A,limb,40,0.091319 +W0,null,A,limb,41,0.093712 +W0,null,A,limb,42,0.09605 +W0,null,A,limb,43,0.098432 +W0,null,A,limb,44,0.100858 +W0,null,A,limb,45,0.103252 +W0,null,A,limb,46,0.105612 +W0,null,A,limb,47,0.107995 +W0,null,A,limb,48,0.1105 +W0,null,A,limb,49,0.112922 +W0,null,A,limb,50,0.115386 +W0,null,A,limb,51,0.117777 +W0,null,A,limb,52,0.120172 +W0,null,A,limb,53,0.122653 +W0,null,A,limb,54,0.125106 +W0,null,A,limb,55,0.127626 +W0,null,A,limb,56,0.13009 +W0,null,A,limb,57,0.132539 +W0,null,A,limb,58,0.135057 +W0,null,A,limb,59,0.137388 +W0,null,A,limb,60,0.139885 W0,null,A,male,1,0.002136 W0,null,A,male,2,0.004277 W0,null,A,male,3,0.006413 @@ -239,6 +359,66 @@ W0,null,A,disease,57,0.102043 W0,null,A,disease,58,0.104089 W0,null,A,disease,59,0.105951 W0,null,A,disease,60,0.107885 +W0,null,B1,limb,1,0.002136 +W0,null,B1,limb,2,0.004251 +W0,null,B1,limb,3,0.006339 +W0,null,B1,limb,4,0.008554 +W0,null,B1,limb,5,0.010697 +W0,null,B1,limb,6,0.01286 +W0,null,B1,limb,7,0.014969 +W0,null,B1,limb,8,0.017142 +W0,null,B1,limb,9,0.019353 +W0,null,B1,limb,10,0.021564 +W0,null,B1,limb,11,0.023771 +W0,null,B1,limb,12,0.026 +W0,null,B1,limb,13,0.028155 +W0,null,B1,limb,14,0.030402 +W0,null,B1,limb,15,0.032654 +W0,null,B1,limb,16,0.034846 +W0,null,B1,limb,17,0.037111 +W0,null,B1,limb,18,0.039376 +W0,null,B1,limb,19,0.041643 +W0,null,B1,limb,20,0.043992 +W0,null,B1,limb,21,0.046253 +W0,null,B1,limb,22,0.048642 +W0,null,B1,limb,23,0.050931 +W0,null,B1,limb,24,0.053203 +W0,null,B1,limb,25,0.055551 +W0,null,B1,limb,26,0.057856 +W0,null,B1,limb,27,0.060133 +W0,null,B1,limb,28,0.062424 +W0,null,B1,limb,29,0.064833 +W0,null,B1,limb,30,0.06728 +W0,null,B1,limb,31,0.069623 +W0,null,B1,limb,32,0.071949 +W0,null,B1,limb,33,0.074342 +W0,null,B1,limb,34,0.076792 +W0,null,B1,limb,35,0.079102 +W0,null,B1,limb,36,0.081519 +W0,null,B1,limb,37,0.083955 +W0,null,B1,limb,38,0.086468 +W0,null,B1,limb,39,0.088943 +W0,null,B1,limb,40,0.091319 +W0,null,B1,limb,41,0.093712 +W0,null,B1,limb,42,0.09605 +W0,null,B1,limb,43,0.098432 +W0,null,B1,limb,44,0.100858 +W0,null,B1,limb,45,0.103252 +W0,null,B1,limb,46,0.105612 +W0,null,B1,limb,47,0.107995 +W0,null,B1,limb,48,0.1105 +W0,null,B1,limb,49,0.112922 +W0,null,B1,limb,50,0.115386 +W0,null,B1,limb,51,0.117777 +W0,null,B1,limb,52,0.120172 +W0,null,B1,limb,53,0.122653 +W0,null,B1,limb,54,0.125106 +W0,null,B1,limb,55,0.127626 +W0,null,B1,limb,56,0.13009 +W0,null,B1,limb,57,0.132539 +W0,null,B1,limb,58,0.135057 +W0,null,B1,limb,59,0.137388 +W0,null,B1,limb,60,0.139885 W0,null,B1,male,1,0.002136 W0,null,B1,male,2,0.004251 W0,null,B1,male,3,0.006339 @@ -359,6 +539,66 @@ W0,null,B1,disease,57,0.102043 W0,null,B1,disease,58,0.104089 W0,null,B1,disease,59,0.105951 W0,null,B1,disease,60,0.107885 +W0,null,B2,limb,1,0.002136 +W0,null,B2,limb,2,0.004251 +W0,null,B2,limb,3,0.006339 +W0,null,B2,limb,4,0.008554 +W0,null,B2,limb,5,0.010697 +W0,null,B2,limb,6,0.01286 +W0,null,B2,limb,7,0.014969 +W0,null,B2,limb,8,0.017142 +W0,null,B2,limb,9,0.019353 +W0,null,B2,limb,10,0.021564 +W0,null,B2,limb,11,0.023771 +W0,null,B2,limb,12,0.026 +W0,null,B2,limb,13,0.028155 +W0,null,B2,limb,14,0.030402 +W0,null,B2,limb,15,0.032654 +W0,null,B2,limb,16,0.034846 +W0,null,B2,limb,17,0.037111 +W0,null,B2,limb,18,0.039376 +W0,null,B2,limb,19,0.041643 +W0,null,B2,limb,20,0.043992 +W0,null,B2,limb,21,0.046253 +W0,null,B2,limb,22,0.048642 +W0,null,B2,limb,23,0.050931 +W0,null,B2,limb,24,0.053203 +W0,null,B2,limb,25,0.055551 +W0,null,B2,limb,26,0.057856 +W0,null,B2,limb,27,0.060133 +W0,null,B2,limb,28,0.062424 +W0,null,B2,limb,29,0.064833 +W0,null,B2,limb,30,0.06728 +W0,null,B2,limb,31,0.069623 +W0,null,B2,limb,32,0.071949 +W0,null,B2,limb,33,0.074342 +W0,null,B2,limb,34,0.076792 +W0,null,B2,limb,35,0.079102 +W0,null,B2,limb,36,0.081519 +W0,null,B2,limb,37,0.083955 +W0,null,B2,limb,38,0.086468 +W0,null,B2,limb,39,0.088943 +W0,null,B2,limb,40,0.091319 +W0,null,B2,limb,41,0.093712 +W0,null,B2,limb,42,0.09605 +W0,null,B2,limb,43,0.098432 +W0,null,B2,limb,44,0.100858 +W0,null,B2,limb,45,0.103252 +W0,null,B2,limb,46,0.105612 +W0,null,B2,limb,47,0.107995 +W0,null,B2,limb,48,0.1105 +W0,null,B2,limb,49,0.112922 +W0,null,B2,limb,50,0.115386 +W0,null,B2,limb,51,0.117777 +W0,null,B2,limb,52,0.120172 +W0,null,B2,limb,53,0.122653 +W0,null,B2,limb,54,0.125106 +W0,null,B2,limb,55,0.127626 +W0,null,B2,limb,56,0.13009 +W0,null,B2,limb,57,0.132539 +W0,null,B2,limb,58,0.135057 +W0,null,B2,limb,59,0.137388 +W0,null,B2,limb,60,0.139885 W0,null,B2,male,1,0.002136 W0,null,B2,male,2,0.004251 W0,null,B2,male,3,0.006339 @@ -479,6 +719,66 @@ W0,null,B2,disease,57,0.102043 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W1_rho0,harm,B1,male,1,0.002136 W1_rho0,harm,B1,male,2,0.004251 W1_rho0,harm,B1,male,3,0.006339 @@ -3719,6 +5579,66 @@ W1_rho0,harm,B1,disease,57,0.102549 W1_rho0,harm,B1,disease,58,0.104634 W1_rho0,harm,B1,disease,59,0.106538 W1_rho0,harm,B1,disease,60,0.108524 +W1_rho0,harm,B2,limb,1,0.002136 +W1_rho0,harm,B2,limb,2,0.004251 +W1_rho0,harm,B2,limb,3,0.006339 +W1_rho0,harm,B2,limb,4,0.008554 +W1_rho0,harm,B2,limb,5,0.010697 +W1_rho0,harm,B2,limb,6,0.01286 +W1_rho0,harm,B2,limb,7,0.014969 +W1_rho0,harm,B2,limb,8,0.017142 +W1_rho0,harm,B2,limb,9,0.019353 +W1_rho0,harm,B2,limb,10,0.021564 +W1_rho0,harm,B2,limb,11,0.023771 +W1_rho0,harm,B2,limb,12,0.026 +W1_rho0,harm,B2,limb,13,0.028155 +W1_rho0,harm,B2,limb,14,0.030402 +W1_rho0,harm,B2,limb,15,0.032654 +W1_rho0,harm,B2,limb,16,0.034846 +W1_rho0,harm,B2,limb,17,0.037111 +W1_rho0,harm,B2,limb,18,0.039376 +W1_rho0,harm,B2,limb,19,0.041643 +W1_rho0,harm,B2,limb,20,0.043992 +W1_rho0,harm,B2,limb,21,0.046253 +W1_rho0,harm,B2,limb,22,0.048642 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+WR,benefit_harm,B2,limb,46,0.10539 +WR,benefit_harm,B2,limb,47,0.107763 +WR,benefit_harm,B2,limb,48,0.110256 +WR,benefit_harm,B2,limb,49,0.112663 +WR,benefit_harm,B2,limb,50,0.115102 +WR,benefit_harm,B2,limb,51,0.117507 +WR,benefit_harm,B2,limb,52,0.119886 +WR,benefit_harm,B2,limb,53,0.122352 +WR,benefit_harm,B2,limb,54,0.124772 +WR,benefit_harm,B2,limb,55,0.127274 +WR,benefit_harm,B2,limb,56,0.129723 +WR,benefit_harm,B2,limb,57,0.132169 +WR,benefit_harm,B2,limb,58,0.134668 +WR,benefit_harm,B2,limb,59,0.137007 +WR,benefit_harm,B2,limb,60,0.139498 WR,benefit_harm,B2,male,1,0.002141 WR,benefit_harm,B2,male,2,0.004266 WR,benefit_harm,B2,male,3,0.006356 diff --git a/simulations/truths/truths.csv b/simulations/truths/truths.csv index edc628f..0145e78 100644 --- a/simulations/truths/truths.csv +++ b/simulations/truths/truths.csv @@ -1,4 +1,10 @@ world,scenario,outcome,estimand,value,mcse,n +W0,null,limb,risk_natural,0.139885000000001,0.000346867852493526,1000000 +W0,null,limb,risk_A,0.139885000000001,0.000346867852493526,1000000 +W0,null,limb,risk_B1,0.139885000000001,0.000346867852493526,1000000 +W0,null,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W0,null,limb,rd_A_B1,0,0,1000000 +W0,null,limb,rd_A_B2,0,0,1000000 W0,null,male,risk_natural,0.147472000000004,0.000354575993181661,1000000 W0,null,male,risk_A,0.284543999999999,0.000451197202607256,1000000 W0,null,male,risk_B1,0.142262999999996,0.000349319854652545,1000000 @@ -41,10 +47,10 @@ W0,null,death,risk_B1,0.349227999999998,0.000476726369402858,1000000 W0,null,death,risk_B2,0.349227999999998,0.000476726369402858,1000000 W0,null,death,rd_A_B1,0,0,1000000 W0,null,death,rd_A_B2,0,0,1000000 -W0,null,nco1,risk_natural,0.0922450000000009,0.000289371635982334,1000000 -W0,null,nco1,risk_A,0.0922450000000009,0.000289371635982334,1000000 -W0,null,nco1,risk_B1,0.0922450000000009,0.000289371635982334,1000000 -W0,null,nco1,risk_B2,0.0922450000000009,0.000289371635982334,1000000 +W0,null,nco1,risk_natural,0.092130000000002,0.000289209520489714,1000000 +W0,null,nco1,risk_A,0.092130000000002,0.000289209520489714,1000000 +W0,null,nco1,risk_B1,0.092130000000002,0.000289209520489714,1000000 +W0,null,nco1,risk_B2,0.092130000000002,0.000289209520489714,1000000 W0,null,nco1,rd_A_B1,0,0,1000000 W0,null,nco1,rd_A_B2,0,0,1000000 W0,null,nco2,risk_natural,0.0591669999999991,0.000235937114030082,1000000 @@ -58,6 +64,7 @@ W0,null,n_proc,mean_A,1.205438,0.000575753037023819,1000000 W0,null,n_proc,mean_B1,0.08892,0.000323334715343537,1000000 W0,null,n_proc,mean_B2,0.061997,0.000271196322870713,1000000 W0,null,n_proc,diff_A_B1,1.116518,0.000536385909010824,1000000 +W0,null,limb,seq_itt,0,0,5747681 W0,null,male,seq_itt,0.15064753941633,0.000149202953196723,5747681 W0,null,disease,seq_itt,0,0,5747681 W0,null,clti,seq_itt,0,0,5747681 @@ -67,6 +74,7 @@ W0,null,rr,seq_itt,0.189368721054631,0.000163423944181573,5747681 W0,null,death,seq_itt,0,0,5747681 W0,null,nco1,seq_itt,0,0,5747681 W0,null,nco2,seq_itt,0,0,5747681 +W0,null,limb,seq_itt_m0,0,0,991543 W0,null,male,seq_itt_m0,0.151920794156178,0.000360471771592511,991543 W0,null,disease,seq_itt_m0,0,0,991543 W0,null,clti,seq_itt_m0,0,0,991543 @@ -76,6 +84,7 @@ W0,null,rr,seq_itt_m0,0.191681046611189,0.000395298721460227,991543 W0,null,death,seq_itt_m0,0,0,991543 W0,null,nco1,seq_itt_m0,0,0,991543 W0,null,nco2,seq_itt_m0,0,0,991543 +W0,null,limb,seq_itt_m1,0,0,978125 W0,null,male,seq_itt_m1,0.15146428115016,0.00036248765499386,978125 W0,null,disease,seq_itt_m1,0,0,978125 W0,null,clti,seq_itt_m1,0,0,978125 @@ -85,6 +94,7 @@ W0,null,rr,seq_itt_m1,0.1908385942492,0.000397332167964692,978125 W0,null,death,seq_itt_m1,0,0,978125 W0,null,nco1,seq_itt_m1,0,0,978125 W0,null,nco2,seq_itt_m1,0,0,978125 +W0,null,limb,seq_itt_m2,0,0,964733 W0,null,male,seq_itt_m2,0.15090600197153,0.000364441478640957,964733 W0,null,disease,seq_itt_m2,0,0,964733 W0,null,clti,seq_itt_m2,0,0,964733 @@ -94,6 +104,7 @@ W0,null,rr,seq_itt_m2,0.189842163583087,0.00039928023626947,964733 W0,null,death,seq_itt_m2,0,0,964733 W0,null,nco1,seq_itt_m2,0,0,964733 W0,null,nco2,seq_itt_m2,0,0,964733 +W0,null,limb,seq_itt_m3,0,0,951156 W0,null,male,seq_itt_m3,0.150448506869534,0.000366575256481119,951156 W0,null,disease,seq_itt_m3,0,0,951156 W0,null,clti,seq_itt_m3,0,0,951156 @@ -103,6 +114,7 @@ W0,null,rr,seq_itt_m3,0.188993183032018,0.000401429860485568,951156 W0,null,death,seq_itt_m3,0,0,951156 W0,null,nco1,seq_itt_m3,0,0,951156 W0,null,nco2,seq_itt_m3,0,0,951156 +W0,null,limb,seq_itt_m4,0,0,937756 W0,null,male,seq_itt_m4,0.149847081756872,0.000368576783339415,937756 W0,null,disease,seq_itt_m4,0,0,937756 W0,null,clti,seq_itt_m4,0,0,937756 @@ -112,6 +124,7 @@ W0,null,rr,seq_itt_m4,0.187902823335707,0.000403390771891068,937756 W0,null,death,seq_itt_m4,0,0,937756 W0,null,nco1,seq_itt_m4,0,0,937756 W0,null,nco2,seq_itt_m4,0,0,937756 +W0,null,limb,seq_itt_m5,0,0,924368 W0,null,male,seq_itt_m5,0.149164618420368,0.000370538607554442,924368 W0,null,disease,seq_itt_m5,0,0,924368 W0,null,clti,seq_itt_m5,0,0,924368 @@ -121,6 +134,12 @@ W0,null,rr,seq_itt_m5,0.186712434874424,0.000405309208574706,924368 W0,null,death,seq_itt_m5,0,0,924368 W0,null,nco1,seq_itt_m5,0,0,924368 W0,null,nco2,seq_itt_m5,0,0,924368 +W0,harm,limb,risk_natural,0.143526999999997,0.000350609645042452,1000000 +W0,harm,limb,risk_A,0.202289999999998,0.0004017075021323,1000000 +W0,harm,limb,risk_B1,0.140447000000003,0.000347450371873819,1000000 +W0,harm,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W0,harm,limb,rd_A_B1,0.0618429999999967,0.000248593051287881,1000000 +W0,harm,limb,rd_A_B2,0.0624049999999958,0.000249605044577613,1000000 W0,harm,male,risk_natural,0.150909999999998,0.000357961310807667,1000000 W0,harm,male,risk_A,0.349662999999999,0.000476863726686614,1000000 W0,harm,male,risk_B1,0.142900000000002,0.000349971016629498,1000000 @@ -163,12 +182,12 @@ 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+W0,harm,nco1,rd_A_B1,-0.00103700000000088,3.45242787462212e-05,1000000 +W0,harm,nco1,rd_A_B2,-0.00103700000000082,3.45242787462212e-05,1000000 W0,harm,nco2,risk_natural,0.0591360000000006,0.000235879183358553,1000000 W0,harm,nco2,risk_A,0.0587279999999993,0.000235115029923162,1000000 W0,harm,nco2,risk_B1,0.0591619999999996,0.000235927771611866,1000000 @@ -180,6 +199,7 @@ W0,harm,n_proc,mean_A,1.260665,0.000633825811648156,1000000 W0,harm,n_proc,mean_B1,0.089554,0.000326827458911353,1000000 W0,harm,n_proc,mean_B2,0.062155,0.000272411141813047,1000000 W0,harm,n_proc,diff_A_B1,1.171111,0.000600861370631051,1000000 +W0,harm,limb,seq_itt,0.0691901655641649,0.000109178815892881,5747681 W0,harm,male,seq_itt,0.222252939924814,0.000175111573322152,5747681 W0,harm,disease,seq_itt,0.0571466996863607,9.96786357151613e-05,5747681 W0,harm,clti,seq_itt,0.0564798220360513,9.89156168624182e-05,5747681 @@ -187,8 +207,9 @@ W0,harm,amp,seq_itt,0.0123260146135459,4.87793996999204e-05,5747681 W0,harm,bypass,seq_itt,0.0204903508040894,6.14437391092352e-05,5747681 W0,harm,rr,seq_itt,0.219288787947695,0.000172691444547682,5747681 W0,harm,death,seq_itt,0.0290759003500711,7.11286640448018e-05,5747681 -W0,harm,nco1,seq_itt,-0.000971522253931578,1.39951583706558e-05,5747681 +W0,harm,nco1,seq_itt,-0.00123458486996722,1.56634998868528e-05,5747681 W0,harm,nco2,seq_itt,-0.000514816323313913,1.00179704841174e-05,5747681 +W0,harm,limb,seq_itt_m0,0.0742963240121705,0.000271582516628613,991543 W0,harm,male,seq_itt_m0,0.227871105942963,0.000425518113672491,991543 W0,harm,disease,seq_itt_m0,0.0615646522642006,0.000248429833727701,991543 W0,harm,clti,seq_itt_m0,0.0609191936204473,0.000246655582840681,991543 @@ -196,8 +217,9 @@ W0,harm,amp,seq_itt_m0,0.0136050579752967,0.000123224278367251,991543 W0,harm,bypass,seq_itt_m0,0.0222088199906597,0.000153872473229595,991543 W0,harm,rr,seq_itt_m0,0.223745213268611,0.000418852513876269,991543 W0,harm,death,seq_itt_m0,0.0313682815571266,0.000177315895128152,991543 -W0,harm,nco1,seq_itt_m0,-0.00109425410698243,3.56256972422409e-05,991543 +W0,harm,nco1,seq_itt_m0,-0.00139378725884767,3.98346711112445e-05,991543 W0,harm,nco2,seq_itt_m0,-0.000592006599814991,2.5804418625868e-05,991543 +W0,harm,limb,seq_itt_m1,0.0721523322683716,0.000269733690904772,978125 W0,harm,male,seq_itt_m1,0.225651118210863,0.000426820337233732,978125 W0,harm,disease,seq_itt_m1,0.059720383386585,0.000246573294490182,978125 W0,harm,clti,seq_itt_m1,0.0590660702875377,0.000244752318377406,978125 @@ -205,8 +227,9 @@ W0,harm,amp,seq_itt_m1,0.013041277955271,0.000121664176676405,978125 W0,harm,bypass,seq_itt_m1,0.0214400000000013,0.000152313070219869,978125 W0,harm,rr,seq_itt_m1,0.222003322683703,0.000420496075244824,978125 W0,harm,death,seq_itt_m1,0.0304132907348223,0.000175993090732983,978125 -W0,harm,nco1,seq_itt_m1,-0.00102543130990397,3.49997052281304e-05,978125 +W0,harm,nco1,seq_itt_m1,-0.00131476038338606,3.91221091988533e-05,978125 W0,harm,nco2,seq_itt_m1,-0.000544920127795857,2.52238237528897e-05,978125 +W0,harm,limb,seq_itt_m2,0.0700649817099632,0.000268021646530973,964733 W0,harm,male,seq_itt_m2,0.223281467514848,0.000428160194527511,964733 W0,harm,disease,seq_itt_m2,0.0578792266875928,0.000244702359334296,964733 W0,harm,clti,seq_itt_m2,0.0572085748077468,0.000242805764889618,964733 @@ -214,8 +237,9 @@ W0,harm,amp,seq_itt_m2,0.0125620249333237,0.000120145652453233,964733 W0,harm,bypass,seq_itt_m2,0.0207777696005019,0.000151054845114052,964733 W0,harm,rr,seq_itt_m2,0.220172835385543,0.000422156788439742,964733 W0,harm,death,seq_itt_m2,0.029455818345593,0.000174781895389261,964733 -W0,harm,nco1,seq_itt_m2,-0.000996130535599467,3.47214446532659e-05,964733 +W0,harm,nco1,seq_itt_m2,-0.0012635620425547,3.88322957558302e-05,964733 W0,harm,nco2,seq_itt_m2,-0.000517241558027287,2.47635536605407e-05,964733 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W0,harm,disease,seq_itt_m4,0.0544032776116559,0.000241292194786532,937756 W0,harm,clti,seq_itt_m4,0.0537314610623632,0.000239371454214275,937756 @@ -232,8 +257,9 @@ W0,harm,amp,seq_itt_m4,0.0115232533836103,0.000116929870222476,937756 W0,harm,bypass,seq_itt_m4,0.0194378921595803,0.000148259585211315,937756 W0,harm,rr,seq_itt_m4,0.216446495676915,0.000425513424518263,937756 W0,harm,death,seq_itt_m4,0.0276660453252241,0.000172100777880028,937756 -W0,harm,nco1,seq_itt_m4,-0.000897888150009001,3.32333827657251e-05,937756 +W0,harm,nco1,seq_itt_m4,-0.00114315450927557,3.72587354789203e-05,937756 W0,harm,nco2,seq_itt_m4,-0.000484134465681864,2.36480808175985e-05,937756 +W0,harm,limb,seq_itt_m5,0.0640805393522949,0.000262925311284646,924368 W0,harm,male,seq_itt_m5,0.216398663735653,0.000432427125818173,924368 W0,harm,disease,seq_itt_m5,0.0527268360652903,0.000239547342742173,924368 W0,harm,clti,seq_itt_m5,0.0520344711197287,0.000237622117501705,924368 @@ -241,8 +267,14 @@ 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W0,benefit_harm,male,risk_natural,0.148702999999999,0.000355795649753271,1000000 W0,benefit_harm,male,risk_A,0.315393000000002,0.000464672434594843,1000000 W0,benefit_harm,male,risk_B1,0.141814999999999,0.000348860469932394,1000000 @@ -285,12 +317,12 @@ W0,benefit_harm,death,risk_B1,0.348641000000005,0.000476540323801971,1000000 W0,benefit_harm,death,risk_B2,0.348871,0.000476613315506664,1000000 W0,benefit_harm,death,rd_A_B1,0.00848900000000102,0.000168525859381435,1000000 W0,benefit_harm,death,rd_A_B2,0.00825899999999959,0.000168210633473026,1000000 -W0,benefit_harm,nco1,risk_natural,0.0923100000000018,0.000289463206105912,1000000 -W0,benefit_harm,nco1,risk_A,0.0932609999999973,0.000290797989058304,1000000 -W0,benefit_harm,nco1,risk_B1,0.092287000000001,0.000289430809351774,1000000 -W0,benefit_harm,nco1,risk_B2,0.0922650000000018,0.000289399816046511,1000000 -W0,benefit_harm,nco1,rd_A_B1,0.000974000000000286,4.10006463976818e-05,1000000 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W0,benefit_harm,n_proc,mean_B2,0.061779,0.000269708041966807,1000000 W0,benefit_harm,n_proc,diff_A_B1,1.134649,0.000577493705853031,1000000 +W0,benefit_harm,limb,seq_itt,0.0471099561718895,0.000115222187006273,5747681 W0,benefit_harm,male,seq_itt,0.192654741973326,0.000177293466500665,5747681 W0,benefit_harm,disease,seq_itt,0.039828758763751,0.000104419096745989,5747681 W0,benefit_harm,clti,seq_itt,0.0400970408761368,0.000103135315090032,5747681 @@ -309,8 +342,9 @@ W0,benefit_harm,amp,seq_itt,0.00562539918273139,4.98657449743467e-05,5747681 W0,benefit_harm,bypass,seq_itt,0.0133151091718558,6.44562878757014e-05,5747681 W0,benefit_harm,rr,seq_itt,0.199544477155222,0.000167326840253897,5747681 W0,benefit_harm,death,seq_itt,0.0126315291332277,7.51385334639289e-05,5747681 -W0,benefit_harm,nco1,seq_itt,0.000952906050283512,1.83531830730778e-05,5747681 +W0,benefit_harm,nco1,seq_itt,0.000981091330572986,1.97740279822201e-05,5747681 W0,benefit_harm,nco2,seq_itt,0.000470798570762736,1.28143358443979e-05,5747681 +W0,benefit_harm,limb,seq_itt_m0,0.0571967125984428,0.00029071416222465,991543 W0,benefit_harm,male,seq_itt_m0,0.20347982891311,0.00043288027508068,991543 W0,benefit_harm,disease,seq_itt_m0,0.0484315859221423,0.000264431429494324,991543 W0,benefit_harm,clti,seq_itt_m0,0.0486857352631199,0.000261560844334156,991543 @@ -318,8 +352,9 @@ W0,benefit_harm,amp,seq_itt_m0,0.00765675316148741,0.000127537614776026,991543 W0,benefit_harm,bypass,seq_itt_m0,0.0164027177843013,0.000163876682770617,991543 W0,benefit_harm,rr,seq_itt_m0,0.205785326506265,0.000407617604220306,991543 W0,benefit_harm,death,seq_itt_m0,0.0166003894939521,0.000188275919701355,991543 -W0,benefit_harm,nco1,seq_itt_m0,0.000857249761230637,4.60984251843768e-05,991543 +W0,benefit_harm,nco1,seq_itt_m0,0.000816908595996229,4.94214337362308e-05,991543 W0,benefit_harm,nco2,seq_itt_m0,0.000410471356259823,3.17459906342161e-05,991543 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W0,benefit_harm,male,seq_itt_m2,0.194644528589775,0.000433867609973116,964733 W0,benefit_harm,disease,seq_itt_m2,0.0412829249129016,0.000257067801900512,964733 W0,benefit_harm,clti,seq_itt_m2,0.0415462101949421,0.000253919990860853,964733 @@ -336,8 +372,9 @@ W0,benefit_harm,amp,seq_itt_m2,0.00593428440822405,0.000122992718152232,964733 W0,benefit_harm,bypass,seq_itt_m2,0.0138266235321059,0.000158727158301886,964733 W0,benefit_harm,rr,seq_itt_m2,0.200675212727254,0.000409312209471986,964733 W0,benefit_harm,death,seq_itt_m2,0.0132886508495107,0.000185006187954263,964733 -W0,benefit_harm,nco1,seq_itt_m2,0.000930827493202616,4.50772797582595e-05,964733 +W0,benefit_harm,nco1,seq_itt_m2,0.000956741398915235,4.86201139022267e-05,964733 W0,benefit_harm,nco2,seq_itt_m2,0.000467486859058429,3.15561174807777e-05,964733 +W0,benefit_harm,limb,seq_itt_m3,0.0449316410767543,0.00028017863054599,951156 W0,benefit_harm,male,seq_itt_m3,0.190389378819037,0.000434630300417575,951156 W0,benefit_harm,disease,seq_itt_m3,0.03794645673265,0.000253725650128919,951156 W0,benefit_harm,clti,seq_itt_m3,0.0382040380337173,0.000250450998786298,951156 @@ -345,8 +382,9 @@ W0,benefit_harm,amp,seq_itt_m3,0.00518842335011309,0.000120825071821517,951156 W0,benefit_harm,bypass,seq_itt_m3,0.0126467162063839,0.000156248404032231,951156 W0,benefit_harm,rr,seq_itt_m3,0.198264007166017,0.000410339339896244,951156 W0,benefit_harm,death,seq_itt_m3,0.0116510856263339,0.000182919926766772,951156 -W0,benefit_harm,nco1,seq_itt_m3,0.000972500830568248,4.45815793462759e-05,951156 +W0,benefit_harm,nco1,seq_itt_m3,0.00101770897728649,4.82136096007154e-05,951156 W0,benefit_harm,nco2,seq_itt_m3,0.000486776091408729,3.11664423144968e-05,951156 +W0,benefit_harm,limb,seq_itt_m4,0.0408475125725694,0.000276469863225481,937756 W0,benefit_harm,male,seq_itt_m4,0.185905502070897,0.000434987781384297,937756 W0,benefit_harm,disease,seq_itt_m4,0.0345196405034979,0.000249981756152588,937756 W0,benefit_harm,clti,seq_itt_m4,0.0347873007477432,0.000246683847702068,937756 @@ -354,8 +392,9 @@ W0,benefit_harm,amp,seq_itt_m4,0.00440093158561543,0.000118462991172707,937756 W0,benefit_harm,bypass,seq_itt_m4,0.011357965184975,0.000153713682120091,937756 W0,benefit_harm,rr,seq_itt_m4,0.195630846403544,0.00041116608736733,937756 W0,benefit_harm,death,seq_itt_m4,0.0102361381851981,0.000181104258496428,937756 -W0,benefit_harm,nco1,seq_itt_m4,0.00102798595796748,4.41614764231259e-05,937756 +W0,benefit_harm,nco1,seq_itt_m4,0.00109943311479719,4.77120343356714e-05,937756 W0,benefit_harm,nco2,seq_itt_m4,0.00050439559970809,3.09939848202028e-05,937756 +W0,benefit_harm,limb,seq_itt_m5,0.0369776971941908,0.000272827113032495,924368 W0,benefit_harm,male,seq_itt_m5,0.181461279490426,0.000435420754281947,924368 W0,benefit_harm,disease,seq_itt_m5,0.031171568033511,0.000246094196445892,924368 W0,benefit_harm,clti,seq_itt_m5,0.0314712322365121,0.000242717464056957,924368 @@ -363,8 +402,14 @@ 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W1,null,male,risk_A,0.281040000000001,0.000449507197333063,1000000 W1,null,male,risk_B1,0.142424999999998,0.000349485681414272,1000000 @@ -407,10 +452,10 @@ W1,null,death,risk_B1,0.349227999999998,0.000476726369402858,1000000 W1,null,death,risk_B2,0.349227999999998,0.000476726369402858,1000000 W1,null,death,rd_A_B1,0,0,1000000 W1,null,death,rd_A_B2,0,0,1000000 -W1,null,nco1,risk_natural,0.0922450000000009,0.000289371635982334,1000000 -W1,null,nco1,risk_A,0.0922450000000009,0.000289371635982334,1000000 -W1,null,nco1,risk_B1,0.0922450000000009,0.000289371635982334,1000000 -W1,null,nco1,risk_B2,0.0922450000000009,0.000289371635982334,1000000 +W1,null,nco1,risk_natural,0.092130000000002,0.000289209520489714,1000000 +W1,null,nco1,risk_A,0.092130000000002,0.000289209520489714,1000000 +W1,null,nco1,risk_B1,0.092130000000002,0.000289209520489714,1000000 +W1,null,nco1,risk_B2,0.092130000000002,0.000289209520489714,1000000 W1,null,nco1,rd_A_B1,0,0,1000000 W1,null,nco1,rd_A_B2,0,0,1000000 W1,null,nco2,risk_natural,0.0591669999999991,0.000235937114030082,1000000 @@ -424,6 +469,7 @@ W1,null,n_proc,mean_A,1.20891,0.000596901137702978,1000000 W1,null,n_proc,mean_B1,0.089351,0.000326287458021929,1000000 W1,null,n_proc,mean_B2,0.062059,0.00027180830450574,1000000 W1,null,n_proc,diff_A_B1,1.119559,0.000556983802052113,1000000 +W1,null,limb,seq_itt,0,0,5747681 W1,null,male,seq_itt,0.146233237369993,0.000147382316788297,5747681 W1,null,disease,seq_itt,0,0,5747681 W1,null,clti,seq_itt,0,0,5747681 @@ -433,6 +479,7 @@ W1,null,rr,seq_itt,0.183923742462395,0.000161597525176201,5747681 W1,null,death,seq_itt,0,0,5747681 W1,null,nco1,seq_itt,0,0,5747681 W1,null,nco2,seq_itt,0,0,5747681 +W1,null,limb,seq_itt_m0,0,0,991543 W1,null,male,seq_itt_m0,0.147393506887751,0.000356006507375541,991543 W1,null,disease,seq_itt_m0,0,0,991543 W1,null,clti,seq_itt_m0,0,0,991543 @@ -442,6 +489,7 @@ W1,null,rr,seq_itt_m0,0.186079675818397,0.000390827270489357,991543 W1,null,death,seq_itt_m0,0,0,991543 W1,null,nco1,seq_itt_m0,0,0,991543 W1,null,nco2,seq_itt_m0,0,0,991543 +W1,null,limb,seq_itt_m1,0,0,978125 W1,null,male,seq_itt_m1,0.14692907348243,0.000357972350110425,978125 W1,null,disease,seq_itt_m1,0,0,978125 W1,null,clti,seq_itt_m1,0,0,978125 @@ -451,6 +499,7 @@ W1,null,rr,seq_itt_m1,0.185245239616612,0.000392816773286833,978125 W1,null,death,seq_itt_m1,0,0,978125 W1,null,nco1,seq_itt_m1,0,0,978125 W1,null,nco2,seq_itt_m1,0,0,978125 +W1,null,limb,seq_itt_m2,0,0,964733 W1,null,male,seq_itt_m2,0.146467468201043,0.000359979098023867,964733 W1,null,disease,seq_itt_m2,0,0,964733 W1,null,clti,seq_itt_m2,0,0,964733 @@ -460,6 +509,7 @@ W1,null,rr,seq_itt_m2,0.184377439146376,0.000394816380109263,964733 W1,null,death,seq_itt_m2,0,0,964733 W1,null,nco1,seq_itt_m2,0,0,964733 W1,null,nco2,seq_itt_m2,0,0,964733 +W1,null,limb,seq_itt_m3,0,0,951156 W1,null,male,seq_itt_m3,0.146042289592872,0.000362102773243745,951156 W1,null,disease,seq_itt_m3,0,0,951156 W1,null,clti,seq_itt_m3,0,0,951156 @@ -469,6 +519,7 @@ W1,null,rr,seq_itt_m3,0.183557691903325,0.000396938658264336,951156 W1,null,death,seq_itt_m3,0,0,951156 W1,null,nco1,seq_itt_m3,0,0,951156 W1,null,nco2,seq_itt_m3,0,0,951156 +W1,null,limb,seq_itt_m4,0,0,937756 W1,null,male,seq_itt_m4,0.145500535320491,0.000364119132066564,937756 W1,null,disease,seq_itt_m4,0,0,937756 W1,null,clti,seq_itt_m4,0,0,937756 @@ -478,6 +529,7 @@ W1,null,rr,seq_itt_m4,0.182526158190405,0.000398891511514452,937756 W1,null,death,seq_itt_m4,0,0,937756 W1,null,nco1,seq_itt_m4,0,0,937756 W1,null,nco2,seq_itt_m4,0,0,937756 +W1,null,limb,seq_itt_m5,0,0,924368 W1,null,male,seq_itt_m5,0.144947683173801,0.000366167476206667,924368 W1,null,disease,seq_itt_m5,0,0,924368 W1,null,clti,seq_itt_m5,0,0,924368 @@ -487,6 +539,12 @@ W1,null,rr,seq_itt_m5,0.181533761445659,0.000400919215328282,924368 W1,null,death,seq_itt_m5,0,0,924368 W1,null,nco1,seq_itt_m5,0,0,924368 W1,null,nco2,seq_itt_m5,0,0,924368 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-W1,harm,nco1,risk_A,0.0912290000000014,0.000287934632279885,1000000 -W1,harm,nco1,risk_B1,0.0922399999999983,0.000289364590319908,1000000 -W1,harm,nco1,risk_B2,0.0922440000000035,0.000289370226870602,1000000 -W1,harm,nco1,rd_A_B1,-0.00101100000000008,3.43508232648282e-05,1000000 -W1,harm,nco1,rd_A_B2,-0.00101499999999987,3.44088790715858e-05,1000000 +W1,harm,nco1,risk_natural,0.0920499999999996,0.000289096663896581,1000000 +W1,harm,nco1,risk_A,0.0908429999999962,0.000287385858979406,1000000 +W1,harm,nco1,risk_B1,0.0921210000000017,0.000289196827427969,1000000 +W1,harm,nco1,risk_B2,0.0921279999999981,0.000289206699879941,1000000 +W1,harm,nco1,rd_A_B1,-0.00127800000000038,3.8449553890373e-05,1000000 +W1,harm,nco1,rd_A_B2,-0.00128500000000033,3.85402420897393e-05,1000000 W1,harm,nco2,risk_natural,0.059108999999999,0.000235828712703118,1000000 W1,harm,nco2,risk_A,0.0585009999999985,0.000234688491574751,1000000 W1,harm,nco2,risk_B1,0.059153999999999,0.000235912822750283,1000000 @@ -546,6 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W1,harm,nco2,seq_itt,-0.000768309862708289,1.19841231025596e-05,5747681 +W1,harm,limb,seq_itt_m0,0.0993925629044826,0.000308710023387329,991543 W1,harm,male,seq_itt_m0,0.235324136220011,0.000430826200526483,991543 W1,harm,disease,seq_itt_m0,0.0854345197333875,0.000287730997988093,991543 W1,harm,clti,seq_itt_m0,0.0851793618632742,0.000286736232697374,991543 @@ -562,8 +622,9 @@ W1,harm,amp,seq_itt_m0,0.0206617363039229,0.00014974441803594,991543 W1,harm,bypass,seq_itt_m0,0.0330283205065238,0.000185468999745778,991543 W1,harm,rr,seq_itt_m0,0.227804543020322,0.00042171491158074,991543 W1,harm,death,seq_itt_m0,0.0396704933623657,0.000198438454704444,991543 -W1,harm,nco1,seq_itt_m0,-0.00143816254060621,4.01889783262507e-05,991543 +W1,harm,nco1,seq_itt_m0,-0.00178509656162158,4.45222189244892e-05,991543 W1,harm,nco2,seq_itt_m0,-0.000883471518632532,3.08752759923878e-05,991543 +W1,harm,limb,seq_itt_m1,0.0968771884984011,0.000307176136535414,978125 W1,harm,male,seq_itt_m1,0.233411884984023,0.000432397036551654,978125 W1,harm,disease,seq_itt_m1,0.0831764856230059,0.000286046638660643,978125 W1,harm,clti,seq_itt_m1,0.0828892012779521,0.00028501005031964,978125 @@ -571,8 +632,9 @@ W1,harm,amp,seq_itt_m1,0.0198093290734828,0.000147724362238138,978125 W1,harm,bypass,seq_itt_m1,0.0318701597444088,0.000183575009619937,978125 W1,harm,rr,seq_itt_m1,0.226184792332268,0.000423476945840113,978125 W1,harm,death,seq_itt_m1,0.0383570607028744,0.000196737936752412,978125 -W1,harm,nco1,seq_itt_m1,-0.00133623003194862,3.94009017949632e-05,978125 +W1,harm,nco1,seq_itt_m1,-0.00166440894568746,4.37506455290767e-05,978125 W1,harm,nco2,seq_itt_m1,-0.000824025559105892,3.03167923342884e-05,978125 +W1,harm,limb,seq_itt_m2,0.0944427110920836,0.000305787998040154,964733 W1,harm,male,seq_itt_m2,0.231395629671633,0.000434015857162151,964733 W1,harm,disease,seq_itt_m2,0.0808586417174506,0.000284363361481193,964733 W1,harm,clti,seq_itt_m2,0.0805207243869525,0.000283259064567843,964733 @@ -580,8 +642,9 @@ W1,harm,amp,seq_itt_m2,0.019027026130547,0.00014568966636014,964733 W1,harm,bypass,seq_itt_m2,0.0308313284608272,0.000181900068762518,964733 W1,harm,rr,seq_itt_m2,0.224563687569514,0.000425275915249378,964733 W1,harm,death,seq_itt_m2,0.0371729794668576,0.000195282735221426,964733 -W1,harm,nco1,seq_itt_m2,-0.00125112336781314,3.84713389210395e-05,964733 +W1,harm,nco1,seq_itt_m2,-0.00155587089899505,4.27466840660879e-05,964733 W1,harm,nco2,seq_itt_m2,-0.000784673064983061,2.9653604686791e-05,964733 +W1,harm,limb,seq_itt_m3,0.0918335162686268,0.000304214571507683,951156 W1,harm,male,seq_itt_m3,0.229254717417541,0.000435656554423156,951156 W1,harm,disease,seq_itt_m3,0.0784865994642286,0.000282651151034588,951156 W1,harm,clti,seq_itt_m3,0.0781070613022512,0.000281474596345485,951156 @@ -589,8 +652,9 @@ W1,harm,amp,seq_itt_m3,0.0182314993544694,0.000143765903202133,951156 W1,harm,bypass,seq_itt_m3,0.0297238307911631,0.000179955387800174,951156 W1,harm,rr,seq_itt_m3,0.22293609039947,0.000427167723778244,951156 W1,harm,death,seq_itt_m3,0.0360025064237628,0.000193834589478436,951156 -W1,harm,nco1,seq_itt_m3,-0.0011754118146763,3.79170630645539e-05,951156 +W1,harm,nco1,seq_itt_m3,-0.00145822556972782,4.2171927769062e-05,951156 W1,harm,nco2,seq_itt_m3,-0.000740151983481451,2.89356841927382e-05,951156 +W1,harm,limb,seq_itt_m4,0.0893793268184918,0.000302739223789472,937756 W1,harm,male,seq_itt_m4,0.227208356971327,0.000437361916517877,937756 W1,harm,disease,seq_itt_m4,0.0762021250730415,0.000280960588302575,937756 W1,harm,clti,seq_itt_m4,0.0758054333963232,0.000279748911681831,937756 @@ -598,8 +662,9 @@ W1,harm,amp,seq_itt_m4,0.0174597656533244,0.000141820521943433,937756 W1,harm,bypass,seq_itt_m4,0.0287420181795686,0.000178299593644172,937756 W1,harm,rr,seq_itt_m4,0.221083096242518,0.000428901442964043,937756 W1,harm,death,seq_itt_m4,0.0348118273836703,0.000192180277272622,937756 -W1,harm,nco1,seq_itt_m4,-0.0011068977431229,3.7076333012829e-05,937756 +W1,harm,nco1,seq_itt_m4,-0.00138522174211637,4.13446052550899e-05,937756 W1,harm,nco2,seq_itt_m4,-0.000704874189021253,2.81032896743432e-05,937756 +W1,harm,limb,seq_itt_m5,0.0869945735897382,0.000301207612524079,924368 W1,harm,male,seq_itt_m5,0.225084598341782,0.0004389869345873,924368 W1,harm,disease,seq_itt_m5,0.0739975853772569,0.000279192552650395,924368 W1,harm,clti,seq_itt_m5,0.0735540390840009,0.000277895293811911,924368 @@ -607,8 +672,14 @@ W1,harm,amp,seq_itt_m5,0.0167097952330671,0.000139784898785261,924368 W1,harm,bypass,seq_itt_m5,0.0277627524968413,0.000176627000907054,924368 W1,harm,rr,seq_itt_m5,0.219184350821319,0.000430617298327283,924368 W1,harm,death,seq_itt_m5,0.0336857182420864,0.000190717044566825,924368 -W1,harm,nco1,seq_itt_m5,-0.00105477472175614,3.64618809113226e-05,924368 +W1,harm,nco1,seq_itt_m5,-0.00131441157634205,4.05560611243752e-05,924368 W1,harm,nco2,seq_itt_m5,-0.00066207397919523,2.77417926304428e-05,924368 +W1,benefit_harm,limb,risk_natural,0.144950000000002,0.000352050595002753,1000000 +W1,benefit_harm,limb,risk_A,0.226411999999998,0.000418508997995829,1000000 +W1,benefit_harm,limb,risk_B1,0.140326999999997,0.000347326148892914,1000000 +W1,benefit_harm,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W1,benefit_harm,limb,rd_A_B1,0.0860850000000021,0.000341488637275437,1000000 +W1,benefit_harm,limb,rd_A_B2,0.0865270000000018,0.000342295479724042,1000000 W1,benefit_harm,male,risk_natural,0.150831,0.000357884251566265,1000000 W1,benefit_harm,male,risk_A,0.342007000000002,0.000474382163444018,1000000 W1,benefit_harm,male,risk_B1,0.142526999999999,0.000349590011991894,1000000 @@ -651,12 +722,12 @@ W1,benefit_harm,death,risk_B1,0.348911999999997,0.000476626314240721,1000000 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+W1,benefit_harm,nco1,risk_B2,0.0921530000000018,0.000289241954513651,1000000 +W1,benefit_harm,nco1,rd_A_B1,0.000477999999999913,5.19401021735593e-05,1000000 +W1,benefit_harm,nco1,rd_A_B2,0.000490000000000443,5.20169453708787e-05,1000000 W1,benefit_harm,nco2,risk_natural,0.0591659999999996,0.000235935245587997,1000000 W1,benefit_harm,nco2,risk_A,0.0592250000000007,0.000236045451326349,1000000 W1,benefit_harm,nco2,risk_B1,0.0591829999999997,0.000235967006571111,1000000 @@ -668,6 +739,7 @@ W1,benefit_harm,n_proc,mean_A,1.318983,0.000851380978501304,1000000 W1,benefit_harm,n_proc,mean_B1,0.090151,0.000335132674495326,1000000 W1,benefit_harm,n_proc,mean_B2,0.062128,0.00027355472294965,1000000 W1,benefit_harm,n_proc,diff_A_B1,1.228832,0.000834676351919192,1000000 +W1,benefit_harm,limb,seq_itt,0.100295928044718,0.000149244088296761,5747681 W1,benefit_harm,male,seq_itt,0.217516942920111,0.000187759822947143,5747681 W1,benefit_harm,disease,seq_itt,0.0925795986242106,0.000140520349997952,5747681 W1,benefit_harm,clti,seq_itt,0.093952326164239,0.000139927289298349,5747681 @@ -675,8 +747,9 @@ W1,benefit_harm,amp,seq_itt,0.0237488823753441,7.62273879153394e-05,5747681 W1,benefit_harm,bypass,seq_itt,0.0421860572985883,9.6217749724284e-05,5747681 W1,benefit_harm,rr,seq_itt,0.216657291871279,0.000172569544240414,5747681 W1,benefit_harm,death,seq_itt,0.0306420972214705,9.60723855352879e-05,5747681 -W1,benefit_harm,nco1,seq_itt,0.00038171916639071,2.1424026156091e-05,5747681 +W1,benefit_harm,nco1,seq_itt,0.000297685275157145,2.31850703811582e-05,5747681 W1,benefit_harm,nco2,seq_itt,-7.7248545978929e-05,1.57778130116313e-05,5747681 +W1,benefit_harm,limb,seq_itt_m0,0.111431375139554,0.00036931889793211,991543 W1,benefit_harm,male,seq_itt_m0,0.226352261071884,0.000455835260824496,991543 W1,benefit_harm,disease,seq_itt_m0,0.103082770994297,0.000349054434858059,991543 W1,benefit_harm,clti,seq_itt_m0,0.104627837622776,0.000347880738245286,991543 @@ -684,8 +757,9 @@ W1,benefit_harm,amp,seq_itt_m0,0.0278343954825962,0.000193855029112201,991543 W1,benefit_harm,bypass,seq_itt_m0,0.0480120378037064,0.000242379571603617,991543 W1,benefit_harm,rr,seq_itt_m0,0.222296965436699,0.000419510714245263,991543 W1,benefit_harm,death,seq_itt_m0,0.0360115496756066,0.000239616827629107,991543 -W1,benefit_harm,nco1,seq_itt_m0,0.000183552301816392,5.3991355136321e-05,991543 +W1,benefit_harm,nco1,seq_itt_m0,2.4204699140442e-05,5.82333032646659e-05,991543 W1,benefit_harm,nco2,seq_itt_m0,-0.000218850821396228,3.98969087564016e-05,991543 +W1,benefit_harm,limb,seq_itt_m1,0.106900447284344,0.000367753387158025,978125 W1,benefit_harm,male,seq_itt_m1,0.222812012779552,0.000457454010338305,978125 W1,benefit_harm,disease,seq_itt_m1,0.0988718210862638,0.00034715147853777,978125 W1,benefit_harm,clti,seq_itt_m1,0.100312332268368,0.000345821661879852,978125 @@ -693,8 +767,9 @@ 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W1,benefit_harm,bypass,seq_itt_m2,0.0431435433430815,0.000236730774548603,964733 W1,benefit_harm,rr,seq_itt_m2,0.217803267847168,0.000422074334729857,964733 W1,benefit_harm,death,seq_itt_m2,0.0315755758328978,0.000235989500379951,964733 -W1,benefit_harm,nco1,seq_itt_m2,0.000347246336551117,5.27818498800445e-05,964733 +W1,benefit_harm,nco1,seq_itt_m2,0.00025602938844216,5.70665382351018e-05,964733 W1,benefit_harm,nco2,seq_itt_m2,-8.91438356520259e-05,3.89777367468506e-05,964733 +W1,benefit_harm,limb,seq_itt_m3,0.0978104538056846,0.000364532080820272,951156 W1,benefit_harm,male,seq_itt_m3,0.215679657175058,0.000460753367366148,951156 W1,benefit_harm,disease,seq_itt_m3,0.0902281013839962,0.000342933708526862,951156 W1,benefit_harm,clti,seq_itt_m3,0.0915759349675574,0.000341436370806368,951156 @@ -711,8 +787,9 @@ W1,benefit_harm,amp,seq_itt_m3,0.0228669114214718,0.000184932463793501,951156 W1,benefit_harm,bypass,seq_itt_m3,0.0408145456686396,0.000233822703302287,951156 W1,benefit_harm,rr,seq_itt_m3,0.215556648961896,0.000423392254380056,951156 W1,benefit_harm,death,seq_itt_m3,0.0293484980381764,0.000234321366761051,951156 -W1,benefit_harm,nco1,seq_itt_m3,0.00042895171769924,5.20374499861018e-05,951156 +W1,benefit_harm,nco1,seq_itt_m3,0.000369024639491969,5.644962242881e-05,951156 W1,benefit_harm,nco2,seq_itt_m3,-4.73108512177093e-05,3.83851466670331e-05,951156 +W1,benefit_harm,limb,seq_itt_m4,0.0931628270040379,0.000362820126190971,937756 W1,benefit_harm,male,seq_itt_m4,0.211787501226337,0.000462294546592035,937756 W1,benefit_harm,disease,seq_itt_m4,0.0858442921186343,0.000340644056437513,937756 W1,benefit_harm,clti,seq_itt_m4,0.0871196771868145,0.000338999558440192,937756 @@ -720,8 +797,9 @@ W1,benefit_harm,amp,seq_itt_m4,0.0212656597238508,0.000181997372521939,937756 W1,benefit_harm,bypass,seq_itt_m4,0.0385324114161923,0.000231105290366184,937756 W1,benefit_harm,rr,seq_itt_m4,0.213019164900039,0.000424547983871622,937756 W1,benefit_harm,death,seq_itt_m4,0.027349331809127,0.000232444470372673,937756 -W1,benefit_harm,nco1,seq_itt_m4,0.00051292660350887,5.14602770493721e-05,937756 +W1,benefit_harm,nco1,seq_itt_m4,0.000478802588306491,5.58070867127995e-05,937756 W1,benefit_harm,nco2,seq_itt_m4,5.33187737549137e-06,3.77774151060618e-05,937756 +W1,benefit_harm,limb,seq_itt_m5,0.0888617953023014,0.000361185289254808,924368 W1,benefit_harm,male,seq_itt_m5,0.208197384591421,0.000463967716564297,924368 W1,benefit_harm,disease,seq_itt_m5,0.0817347636439181,0.000338531608776837,924368 W1,benefit_harm,clti,seq_itt_m5,0.0829593841413798,0.000336766595959767,924368 @@ -729,8 +807,14 @@ W1,benefit_harm,amp,seq_itt_m5,0.0197800010385475,0.000178930488775615,924368 W1,benefit_harm,bypass,seq_itt_m5,0.0364638325861586,0.000228351207766269,924368 W1,benefit_harm,rr,seq_itt_m5,0.210574143631109,0.000425751352676182,924368 W1,benefit_harm,death,seq_itt_m5,0.0252962023782733,0.000230505271584681,924368 -W1,benefit_harm,nco1,seq_itt_m5,0.000554973776677618,5.06578152395881e-05,924368 +W1,benefit_harm,nco1,seq_itt_m5,0.000524682810309394,5.50639942274635e-05,924368 W1,benefit_harm,nco2,seq_itt_m5,6.49092136466429e-05,3.74440688796129e-05,924368 +W1_rho0,null,limb,risk_natural,0.139885000000001,0.000346867852493526,1000000 +W1_rho0,null,limb,risk_A,0.139885000000001,0.000346867852493526,1000000 +W1_rho0,null,limb,risk_B1,0.139885000000001,0.000346867852493526,1000000 +W1_rho0,null,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W1_rho0,null,limb,rd_A_B1,0,0,1000000 +W1_rho0,null,limb,rd_A_B2,0,0,1000000 W1_rho0,null,male,risk_natural,0.147796,0.000354897828021567,1000000 W1_rho0,null,male,risk_A,0.290082999999999,0.000453800682066728,1000000 W1_rho0,null,male,risk_B1,0.142375999999997,0.000349435540165638,1000000 @@ -773,10 +857,10 @@ W1_rho0,null,death,risk_B1,0.349227999999998,0.000476726369402858,1000000 W1_rho0,null,death,risk_B2,0.349227999999998,0.000476726369402858,1000000 W1_rho0,null,death,rd_A_B1,0,0,1000000 W1_rho0,null,death,rd_A_B2,0,0,1000000 -W1_rho0,null,nco1,risk_natural,0.0922450000000009,0.000289371635982334,1000000 -W1_rho0,null,nco1,risk_A,0.0922450000000009,0.000289371635982334,1000000 -W1_rho0,null,nco1,risk_B1,0.0922450000000009,0.000289371635982334,1000000 -W1_rho0,null,nco1,risk_B2,0.0922450000000009,0.000289371635982334,1000000 +W1_rho0,null,nco1,risk_natural,0.092130000000002,0.000289209520489714,1000000 +W1_rho0,null,nco1,risk_A,0.092130000000002,0.000289209520489714,1000000 +W1_rho0,null,nco1,risk_B1,0.092130000000002,0.000289209520489714,1000000 +W1_rho0,null,nco1,risk_B2,0.092130000000002,0.000289209520489714,1000000 W1_rho0,null,nco1,rd_A_B1,0,0,1000000 W1_rho0,null,nco1,rd_A_B2,0,0,1000000 W1_rho0,null,nco2,risk_natural,0.0591669999999991,0.000235937114030082,1000000 @@ -790,6 +874,7 @@ W1_rho0,null,n_proc,mean_A,1.223399,0.000613462519744339,1000000 W1_rho0,null,n_proc,mean_B1,0.089419,0.000326856771805502,1000000 W1_rho0,null,n_proc,mean_B2,0.062184,0.000272828196084086,1000000 W1_rho0,null,n_proc,diff_A_B1,1.13398,0.000575148407282334,1000000 +W1_rho0,null,limb,seq_itt,0,0,5747681 W1_rho0,null,male,seq_itt,0.156154803998344,0.000151412530505809,5747681 W1_rho0,null,disease,seq_itt,0,0,5747681 W1_rho0,null,clti,seq_itt,0,0,5747681 @@ -799,6 +884,7 @@ W1_rho0,null,rr,seq_itt,0.195345218358499,0.000165369977772959,5747681 W1_rho0,null,death,seq_itt,0,0,5747681 W1_rho0,null,nco1,seq_itt,0,0,5747681 W1_rho0,null,nco2,seq_itt,0,0,5747681 +W1_rho0,null,limb,seq_itt_m0,0,0,991543 W1_rho0,null,male,seq_itt_m0,0.157315416477145,0.000365647500608167,991543 W1_rho0,null,disease,seq_itt_m0,0,0,991543 W1_rho0,null,clti,seq_itt_m0,0,0,991543 @@ -808,6 +894,7 @@ W1_rho0,null,rr,seq_itt_m0,0.197529507041047,0.000399829624093165,991543 W1_rho0,null,death,seq_itt_m0,0,0,991543 W1_rho0,null,nco1,seq_itt_m0,0,0,991543 W1_rho0,null,nco2,seq_itt_m0,0,0,991543 +W1_rho0,null,limb,seq_itt_m1,0,0,978125 W1_rho0,null,male,seq_itt_m1,0.156847028753997,0.000367700633234983,978125 W1_rho0,null,disease,seq_itt_m1,0,0,978125 W1_rho0,null,clti,seq_itt_m1,0,0,978125 @@ -817,6 +904,7 @@ W1_rho0,null,rr,seq_itt_m1,0.196683450479233,0.000401911385102627,978125 W1_rho0,null,death,seq_itt_m1,0,0,978125 W1_rho0,null,nco1,seq_itt_m1,0,0,978125 W1_rho0,null,nco2,seq_itt_m1,0,0,978125 +W1_rho0,null,limb,seq_itt_m2,0,0,964733 W1_rho0,null,male,seq_itt_m2,0.156388347864125,0.00036980275180293,964733 W1_rho0,null,disease,seq_itt_m2,0,0,964733 W1_rho0,null,clti,seq_itt_m2,0,0,964733 @@ -826,6 +914,7 @@ W1_rho0,null,rr,seq_itt_m2,0.195798215672107,0.000404002022180208,964733 W1_rho0,null,death,seq_itt_m2,0,0,964733 W1_rho0,null,nco1,seq_itt_m2,0,0,964733 W1_rho0,null,nco2,seq_itt_m2,0,0,964733 +W1_rho0,null,limb,seq_itt_m3,0,0,951156 W1_rho0,null,male,seq_itt_m3,0.156012262972633,0.000372067545091623,951156 W1_rho0,null,disease,seq_itt_m3,0,0,951156 W1_rho0,null,clti,seq_itt_m3,0,0,951156 @@ -835,6 +924,7 @@ W1_rho0,null,rr,seq_itt_m3,0.195021636829288,0.000406263545740149,951156 W1_rho0,null,death,seq_itt_m3,0,0,951156 W1_rho0,null,nco1,seq_itt_m3,0,0,951156 W1_rho0,null,nco2,seq_itt_m3,0,0,951156 +W1_rho0,null,limb,seq_itt_m4,0,0,937756 W1_rho0,null,male,seq_itt_m4,0.155405030732944,0.000374121001021522,937756 W1_rho0,null,disease,seq_itt_m4,0,0,937756 W1_rho0,null,clti,seq_itt_m4,0,0,937756 @@ -844,6 +934,7 @@ W1_rho0,null,rr,seq_itt_m4,0.193912915513203,0.000408272055387607,937756 W1_rho0,null,death,seq_itt_m4,0,0,937756 W1_rho0,null,nco1,seq_itt_m4,0,0,937756 W1_rho0,null,nco2,seq_itt_m4,0,0,937756 +W1_rho0,null,limb,seq_itt_m5,0,0,924368 W1_rho0,null,male,seq_itt_m5,0.154840929153759,0.000376261598744181,924368 W1_rho0,null,disease,seq_itt_m5,0,0,924368 W1_rho0,null,clti,seq_itt_m5,0,0,924368 @@ -853,6 +944,12 @@ W1_rho0,null,rr,seq_itt_m5,0.192899364755162,0.00041039969271708,924368 W1_rho0,null,death,seq_itt_m5,0,0,924368 W1_rho0,null,nco1,seq_itt_m5,0,0,924368 W1_rho0,null,nco2,seq_itt_m5,0,0,924368 +W1_rho0,harm,limb,risk_natural,0.144581999999997,0.000351679070961165,1000000 +W1_rho0,harm,limb,risk_A,0.224200000000001,0.000417054593469262,1000000 +W1_rho0,harm,limb,risk_B1,0.140653000000004,0.000347663421232309,1000000 +W1_rho0,harm,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W1_rho0,harm,limb,rd_A_B1,0.0835469999999963,0.000284392298894303,1000000 +W1_rho0,harm,limb,rd_A_B2,0.0843149999999977,0.000285517183884178,1000000 W1_rho0,harm,male,risk_natural,0.151583000000001,0.000358616400509134,1000000 W1_rho0,harm,male,risk_A,0.366412999999998,0.000481824392890211,1000000 W1_rho0,harm,male,risk_B1,0.143130999999998,0.000350206566877555,1000000 @@ -895,12 +992,12 @@ W1_rho0,harm,death,risk_B1,0.349576999999997,0.000476836605610003,1000000 W1_rho0,harm,death,risk_B2,0.349335000000002,0.000476760196615984,1000000 W1_rho0,harm,death,rd_A_B1,0.0323699999999998,0.000179839415706833,1000000 W1_rho0,harm,death,rd_A_B2,0.0326119999999997,0.000180467420948538,1000000 -W1_rho0,harm,nco1,risk_natural,0.0922059999999977,0.000289316672986388,1000000 -W1_rho0,harm,nco1,risk_A,0.0912139999999992,0.000287913336087196,1000000 -W1_rho0,harm,nco1,risk_B1,0.0922430000000016,0.000289368817746891,1000000 -W1_rho0,harm,nco1,risk_B2,0.0922450000000009,0.000289371635982334,1000000 -W1_rho0,harm,nco1,rd_A_B1,-0.00102899999999991,3.45534709247712e-05,1000000 -W1_rho0,harm,nco1,rd_A_B2,-0.00103099999999999,3.4582339928819e-05,1000000 +W1_rho0,harm,nco1,risk_natural,0.0920589999999965,0.000289109363570095,1000000 +W1_rho0,harm,nco1,risk_A,0.0908280000000037,0.000287364501972609,1000000 +W1_rho0,harm,nco1,risk_B1,0.0921239999999965,0.00028920105854097,1000000 +W1_rho0,harm,nco1,risk_B2,0.0921290000000001,0.000289208110189273,1000000 +W1_rho0,harm,nco1,rd_A_B1,-0.00129600000000003,3.86305821379645e-05,1000000 +W1_rho0,harm,nco1,rd_A_B2,-0.00130099999999967,3.86950758666138e-05,1000000 W1_rho0,harm,nco2,risk_natural,0.0591190000000002,0.000235847407156373,1000000 W1_rho0,harm,nco2,risk_A,0.0585979999999986,0.000234870878487545,1000000 W1_rho0,harm,nco2,risk_B1,0.059155999999999,0.000235916560081382,1000000 @@ -912,6 +1009,7 @@ W1_rho0,harm,n_proc,mean_A,1.322237,0.000769979810583502,1000000 W1_rho0,harm,n_proc,mean_B1,0.090547,0.000334281845956599,1000000 W1_rho0,harm,n_proc,mean_B2,0.062489,0.000275750250982354,1000000 W1_rho0,harm,n_proc,diff_A_B1,1.23169,0.000740728217760453,1000000 +W1_rho0,harm,limb,seq_itt,0.0931121612351134,0.000124541784862438,5747681 W1_rho0,harm,male,seq_itt,0.239163064199284,0.000179790035701475,5747681 W1_rho0,harm,disease,seq_itt,0.0796780475464771,0.000115796395128745,5747681 W1_rho0,harm,clti,seq_itt,0.0793546127559955,0.000115353196527479,5747681 @@ -919,8 +1017,9 @@ W1_rho0,harm,amp,seq_itt,0.018767743025404,5.92896422921018e-05,5747681 W1_rho0,harm,bypass,seq_itt,0.0303793825718584,7.39569659287158e-05,5747681 W1_rho0,harm,rr,seq_itt,0.235672786990091,0.000177175252022036,5747681 W1_rho0,harm,death,seq_itt,0.0367769192479537,7.96281378540208e-05,5747681 -W1_rho0,harm,nco1,seq_itt,-0.00125128725828721,1.57499663572458e-05,5747681 +W1_rho0,harm,nco1,seq_itt,-0.00154810261738592,1.74782566691342e-05,5747681 W1_rho0,harm,nco2,seq_itt,-0.00065261102695154,1.1184481807069e-05,5747681 +W1_rho0,harm,limb,seq_itt_m0,0.0993723923218644,0.000308657261680833,991543 W1_rho0,harm,male,seq_itt_m0,0.244129604061545,0.000436027578104813,991543 W1_rho0,harm,disease,seq_itt_m0,0.0854909973647169,0.000287844852581915,991543 W1_rho0,harm,clti,seq_itt_m0,0.0852600441937475,0.000286896462377918,991543 @@ -928,8 +1027,9 @@ W1_rho0,harm,amp,seq_itt_m0,0.0207494783383073,0.000149979921565214,991543 W1_rho0,harm,bypass,seq_itt_m0,0.0330333631521793,0.000185344659912728,991543 W1_rho0,harm,rr,seq_itt_m0,0.239846380842788,0.000429252552083621,991543 W1_rho0,harm,death,seq_itt_m0,0.0397310051102172,0.000198595330538784,991543 -W1_rho0,harm,nco1,seq_itt_m0,-0.00143816254060614,4.02395639519383e-05,991543 +W1_rho0,harm,nco1,seq_itt_m0,-0.00177904538683647,4.45681305112821e-05,991543 W1_rho0,harm,nco2,seq_itt_m0,-0.000731183619873402,2.85695263004739e-05,991543 +W1_rho0,harm,limb,seq_itt_m1,0.0967187220447295,0.000307048521132289,978125 W1_rho0,harm,male,seq_itt_m1,0.242174568690098,0.000437764852067138,978125 W1_rho0,harm,disease,seq_itt_m1,0.0830221086261929,0.000285937171486287,978125 W1_rho0,harm,clti,seq_itt_m1,0.0827695846645398,0.000284941063051996,978125 @@ -937,8 +1037,9 @@ W1_rho0,harm,amp,seq_itt_m1,0.0199146325878586,0.000147975007332384,978125 W1_rho0,harm,bypass,seq_itt_m1,0.0319100319488812,0.000183650472049059,978125 W1_rho0,harm,rr,seq_itt_m1,0.238232332268369,0.000431144512861618,978125 W1_rho0,harm,death,seq_itt_m1,0.0384950798722036,0.000197111139051085,978125 -W1_rho0,harm,nco1,seq_itt_m1,-0.00135667731629402,3.96382252633005e-05,978125 +W1_rho0,harm,nco1,seq_itt_m1,-0.001673610223642,4.39291022921599e-05,978125 W1_rho0,harm,nco2,seq_itt_m1,-0.00069418530351376,2.81944516060355e-05,978125 +W1_rho0,harm,limb,seq_itt_m2,0.0943048491136938,0.000305724926482228,964733 W1_rho0,harm,male,seq_itt_m2,0.240257148869172,0.000439544360916555,964733 W1_rho0,harm,disease,seq_itt_m2,0.0807529129821407,0.000284284918518093,964733 W1_rho0,harm,clti,seq_itt_m2,0.0804326171075297,0.000283203453190794,964733 @@ -946,8 +1047,9 @@ W1_rho0,harm,amp,seq_itt_m2,0.0192001310207063,0.000146185215070258,964733 W1_rho0,harm,bypass,seq_itt_m2,0.030860352035228,0.000182036679386686,964733 W1_rho0,harm,rr,seq_itt_m2,0.23657219147681,0.000433055460590343,964733 W1_rho0,harm,death,seq_itt_m2,0.0373315725698197,0.000195737774705957,964733 -W1_rho0,harm,nco1,seq_itt_m2,-0.00129051250449575,3.89142974157801e-05,964733 +W1_rho0,harm,nco1,seq_itt_m2,-0.00158904069830711,4.31208112968962e-05,964733 W1_rho0,harm,nco2,seq_itt_m2,-0.000665469098704242,2.7650484817838e-05,964733 +W1_rho0,harm,limb,seq_itt_m3,0.0916968404762192,0.000304112562074467,951156 W1_rho0,harm,male,seq_itt_m3,0.238097641186095,0.000441270823455289,951156 W1_rho0,harm,disease,seq_itt_m3,0.0784109021022827,0.000282618488819231,951156 W1_rho0,harm,clti,seq_itt_m3,0.0780534423375348,0.000281500050186949,951156 @@ -955,8 +1057,9 @@ W1_rho0,harm,amp,seq_itt_m3,0.0183513535108851,0.000144095475284161,951156 W1_rho0,harm,bypass,seq_itt_m3,0.0297143686209208,0.000179929388402494,951156 W1_rho0,harm,rr,seq_itt_m3,0.234866835724106,0.000435007208884222,951156 W1_rho0,harm,death,seq_itt_m3,0.0361391822161663,0.000194178207490461,951156 -W1_rho0,harm,nco1,seq_itt_m3,-0.00120169562090748,3.81052153746759e-05,951156 +W1_rho0,harm,nco1,seq_itt_m3,-0.00149292019395327,4.23667792680862e-05,951156 W1_rho0,harm,nco2,seq_itt_m3,-0.000640273519801514,2.72259794809034e-05,951156 +W1_rho0,harm,limb,seq_itt_m4,0.0891681844744223,0.000302520066931929,937756 W1_rho0,harm,male,seq_itt_m4,0.235944104863092,0.000443016656923912,937756 W1_rho0,harm,disease,seq_itt_m4,0.0760400360008281,0.000280792856382242,937756 W1_rho0,harm,clti,seq_itt_m4,0.075670003710982,0.000279631486727702,937756 @@ -964,8 +1067,9 @@ W1_rho0,harm,amp,seq_itt_m4,0.0174981551704276,0.0001418876252164,937756 W1_rho0,harm,bypass,seq_itt_m4,0.0286982967850896,0.000178080557479991,937756 W1_rho0,harm,rr,seq_itt_m4,0.232961452659325,0.00043683949579351,937756 W1_rho0,harm,death,seq_itt_m4,0.0349014029235741,0.000192547216028007,937756 -W1_rho0,harm,nco1,seq_itt_m4,-0.00112289337524848,3.72746493961489e-05,937756 +W1_rho0,harm,nco1,seq_itt_m4,-0.00139161999496671,4.14816708451081e-05,937756 W1_rho0,harm,nco2,seq_itt_m4,-0.000608900396264902,2.6351623990588e-05,937756 +W1_rho0,harm,limb,seq_itt_m5,0.086793355027437,0.00030097502442533,924368 W1_rho0,harm,male,seq_itt_m5,0.233868978588623,0.000444778323202283,924368 W1_rho0,harm,disease,seq_itt_m5,0.0737768940508475,0.000278924450837008,924368 W1_rho0,harm,clti,seq_itt_m5,0.0733582296228285,0.000277683780885863,924368 @@ -973,8 +1077,14 @@ W1_rho0,harm,amp,seq_itt_m5,0.0166935679296552,0.000139749315918966,924368 W1_rho0,harm,bypass,seq_itt_m5,0.0278006162048021,0.000176550968318708,924368 W1_rho0,harm,rr,seq_itt_m5,0.231128727952504,0.000438747111155796,924368 W1_rho0,harm,death,seq_itt_m5,0.0337701002198257,0.000190927835021578,924368 -W1_rho0,harm,nco1,seq_itt_m5,-0.00107965658698708,3.67647615884712e-05,924368 +W1_rho0,harm,nco1,seq_itt_m5,-0.00134037526180027,4.08427013245202e-05,924368 W1_rho0,harm,nco2,seq_itt_m5,-0.000567955619406953,2.59795123344141e-05,924368 +W1_rho0,benefit_harm,limb,risk_natural,0.143902000000002,0.000350990509259235,1000000 +W1_rho0,benefit_harm,limb,risk_A,0.225877000000002,0.000418158768565358,1000000 +W1_rho0,benefit_harm,limb,risk_B1,0.140103999999999,0.000347095072935801,1000000 +W1_rho0,benefit_harm,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W1_rho0,benefit_harm,limb,rd_A_B1,0.0857730000000071,0.000341174601739412,1000000 +W1_rho0,benefit_harm,limb,rd_A_B2,0.0859919999999987,0.000341788666801284,1000000 W1_rho0,benefit_harm,male,risk_natural,0.149927,0.00035700003097753,1000000 W1_rho0,benefit_harm,male,risk_A,0.348812999999994,0.000476594920424209,1000000 W1_rho0,benefit_harm,male,risk_B1,0.142270000000001,0.00034932702318796,1000000 @@ -1017,12 +1127,12 @@ W1_rho0,benefit_harm,death,risk_B1,0.348851000000001,0.000476606973250064,100000 W1_rho0,benefit_harm,death,risk_B2,0.348953000000003,0.000476639309096482,1000000 W1_rho0,benefit_harm,death,rd_A_B1,0.0241710000000003,0.000216948864541592,1000000 W1_rho0,benefit_harm,death,rd_A_B2,0.0240690000000006,0.000217126070249929,1000000 -W1_rho0,benefit_harm,nco1,risk_natural,0.0922900000000009,0.000289435035323466,1000000 -W1_rho0,benefit_harm,nco1,risk_A,0.0928080000000013,0.000290163332161798,1000000 -W1_rho0,benefit_harm,nco1,risk_B1,0.0922800000000018,0.000289420948384089,1000000 -W1_rho0,benefit_harm,nco1,risk_B2,0.0922639999999999,0.000289398407141741,1000000 -W1_rho0,benefit_harm,nco1,rd_A_B1,0.000528000000000356,4.77673894796527e-05,1000000 -W1_rho0,benefit_harm,nco1,rd_A_B2,0.000543999999999927,4.78299733606319e-05,1000000 +W1_rho0,benefit_harm,nco1,risk_natural,0.0921719999999973,0.000289268743716811,1000000 +W1_rho0,benefit_harm,nco1,risk_A,0.0926720000000038,0.00028997238575546,1000000 +W1_rho0,benefit_harm,nco1,risk_B1,0.0921650000000031,0.000289258874446107,1000000 +W1_rho0,benefit_harm,nco1,risk_B2,0.0921520000000012,0.000289240544452367,1000000 +W1_rho0,benefit_harm,nco1,rd_A_B1,0.000507000000000088,5.20456113398162e-05,1000000 +W1_rho0,benefit_harm,nco1,rd_A_B2,0.000519999999999716,5.21126886254505e-05,1000000 W1_rho0,benefit_harm,nco2,risk_natural,0.0591960000000001,0.000235991290678094,1000000 W1_rho0,benefit_harm,nco2,risk_A,0.0594299999999994,0.000236427855799843,1000000 W1_rho0,benefit_harm,nco2,risk_B1,0.0591860000000013,0.00023597261088305,1000000 @@ -1034,6 +1144,7 @@ W1_rho0,benefit_harm,n_proc,mean_A,1.337064,0.00088103952018884,1000000 W1_rho0,benefit_harm,n_proc,mean_B1,0.089878,0.000332878440163169,1000000 W1_rho0,benefit_harm,n_proc,mean_B2,0.06225,0.000274563313072513,1000000 W1_rho0,benefit_harm,n_proc,diff_A_B1,1.247186,0.000867630009961015,1000000 +W1_rho0,benefit_harm,limb,seq_itt,0.100512711126454,0.000149276125682005,5747681 W1_rho0,benefit_harm,male,seq_itt,0.225473717139145,0.000189633527553944,5747681 W1_rho0,benefit_harm,disease,seq_itt,0.0927802012672597,0.000140559089467597,5747681 W1_rho0,benefit_harm,clti,seq_itt,0.0941289191240767,0.000139926869603173,5747681 @@ -1041,8 +1152,9 @@ W1_rho0,benefit_harm,amp,seq_itt,0.0237577555191387,7.62402749958765e-05,5747681 W1_rho0,benefit_harm,bypass,seq_itt,0.0421267290234098,9.60850237911572e-05,5747681 W1_rho0,benefit_harm,rr,seq_itt,0.228192030838176,0.000175759128955076,5747681 W1_rho0,benefit_harm,death,seq_itt,0.0305472763711137,9.60358564413726e-05,5747681 -W1_rho0,benefit_harm,nco1,seq_itt,0.00039981342040393,2.14677351248871e-05,5747681 +W1_rho0,benefit_harm,nco1,seq_itt,0.000303426721141804,2.325089461075e-05,5747681 W1_rho0,benefit_harm,nco2,seq_itt,0.000164066168599486,1.50983194168674e-05,5747681 +W1_rho0,benefit_harm,limb,seq_itt_m0,0.111476758950444,0.000368945489468304,991543 W1_rho0,benefit_harm,male,seq_itt_m0,0.234110875675593,0.000459963168082818,991543 W1_rho0,benefit_harm,disease,seq_itt_m0,0.103105967164307,0.000348699125824957,991543 W1_rho0,benefit_harm,clti,seq_itt_m0,0.104608675569286,0.000347469666322638,991543 @@ -1050,8 +1162,9 @@ W1_rho0,benefit_harm,amp,seq_itt_m0,0.0278323784243342,0.000193587546308974,9915 W1_rho0,benefit_harm,bypass,seq_itt_m0,0.0478345366766747,0.000241944574545825,991543 W1_rho0,benefit_harm,rr,seq_itt_m0,0.233964638951611,0.000427030408587815,991543 W1_rho0,benefit_harm,death,seq_itt_m0,0.0359923876221209,0.00023947324169265,991543 -W1_rho0,benefit_harm,nco1,seq_itt_m0,0.000211791117480706,5.40477378095316e-05,991543 +W1_rho0,benefit_harm,nco1,seq_itt_m0,2.72302865327346e-05,5.83989979444531e-05,991543 W1_rho0,benefit_harm,nco2,seq_itt_m0,5.74861604594906e-05,3.79908807850213e-05,991543 +W1_rho0,benefit_harm,limb,seq_itt_m1,0.107003706070288,0.000367732632353072,978125 W1_rho0,benefit_harm,male,seq_itt_m1,0.230612651757188,0.000461865834627602,978125 W1_rho0,benefit_harm,disease,seq_itt_m1,0.0988789776357809,0.000347057550232735,978125 W1_rho0,benefit_harm,clti,seq_itt_m1,0.100327667731631,0.000345679562898534,978125 @@ -1059,8 +1172,9 @@ W1_rho0,benefit_harm,amp,seq_itt_m1,0.0260488178913736,0.000190827335585092,9781 W1_rho0,benefit_harm,bypass,seq_itt_m1,0.0455514376996808,0.000239336995541432,978125 W1_rho0,benefit_harm,rr,seq_itt_m1,0.231630926517574,0.000428402265333659,978125 W1_rho0,benefit_harm,death,seq_itt_m1,0.0336899680511183,0.000237665862544334,978125 -W1_rho0,benefit_harm,nco1,seq_itt_m1,0.000314888178914057,5.35928142299292e-05,978125 +W1_rho0,benefit_harm,nco1,seq_itt_m1,0.000163578274760066,5.79417838510001e-05,978125 W1_rho0,benefit_harm,nco2,seq_itt_m1,9.71246006393448e-05,3.75500355388689e-05,978125 +W1_rho0,benefit_harm,limb,seq_itt_m2,0.10263979774715,0.000366455593910255,964733 W1_rho0,benefit_harm,male,seq_itt_m2,0.227208979064675,0.00046367201424469,964733 W1_rho0,benefit_harm,disease,seq_itt_m2,0.0948303831215483,0.000345415100015012,964733 W1_rho0,benefit_harm,clti,seq_itt_m2,0.0962100394616914,0.000343919901389291,964733 @@ -1068,8 +1182,9 @@ W1_rho0,benefit_harm,amp,seq_itt_m2,0.0243435230265793,0.000187651969448648,9647 W1_rho0,benefit_harm,bypass,seq_itt_m2,0.0431145197686836,0.000236400160886686,964733 W1_rho0,benefit_harm,rr,seq_itt_m2,0.229330809664436,0.000429803939647559,964733 W1_rho0,benefit_harm,death,seq_itt_m2,0.0314791761036472,0.000236077957059627,964733 -W1_rho0,benefit_harm,nco1,seq_itt_m2,0.000375233354720967,5.28325180846439e-05,964733 +W1_rho0,benefit_harm,nco1,seq_itt_m2,0.000265358394498464,5.72826072435794e-05,964733 W1_rho0,benefit_harm,nco2,seq_itt_m2,0.000157556546734497,3.72292180459428e-05,964733 +W1_rho0,benefit_harm,limb,seq_itt_m3,0.098027032369034,0.000364592201021529,951156 W1_rho0,benefit_harm,male,seq_itt_m3,0.223641547758732,0.000465331906132522,951156 W1_rho0,benefit_harm,disease,seq_itt_m3,0.0904982989120631,0.000343092500114731,951156 W1_rho0,benefit_harm,clti,seq_itt_m3,0.0918198486893797,0.000341464618879495,951156 @@ -1077,8 +1192,9 @@ W1_rho0,benefit_harm,amp,seq_itt_m3,0.022793316764021,0.000184912129540367,95115 W1_rho0,benefit_harm,bypass,seq_itt_m3,0.0408061348506443,0.000233512040568223,951156 W1_rho0,benefit_harm,rr,seq_itt_m3,0.227013234422112,0.000431245859456516,951156 W1_rho0,benefit_harm,death,seq_itt_m3,0.0293011871869591,0.000234155354759501,951156 -W1_rho0,benefit_harm,nco1,seq_itt_m3,0.000438413887942777,5.20479866576607e-05,951156 +W1_rho0,benefit_harm,nco1,seq_itt_m3,0.000376384105235706,5.64593610273543e-05,951156 W1_rho0,benefit_harm,nco2,seq_itt_m3,0.000198705575110857,3.6404181115636e-05,951156 +W1_rho0,benefit_harm,limb,seq_itt_m4,0.0935403239222155,0.000363214677691515,937756 W1_rho0,benefit_harm,male,seq_itt_m4,0.219944207235157,0.000467228045313589,937756 W1_rho0,benefit_harm,disease,seq_itt_m4,0.0861855322706519,0.000341039328022738,937756 W1_rho0,benefit_harm,clti,seq_itt_m4,0.0874299924500602,0.000339308372984022,937756 @@ -1086,8 +1202,9 @@ W1_rho0,benefit_harm,amp,seq_itt_m4,0.0212688588502761,0.000182062568408242,9377 W1_rho0,benefit_harm,bypass,seq_itt_m4,0.0385409424199919,0.000230862540504288,937756 W1_rho0,benefit_harm,rr,seq_itt_m4,0.224539219157224,0.000432598346171702,937756 W1_rho0,benefit_harm,death,seq_itt_m4,0.0271360567141135,0.000232167646175658,937756 -W1_rho0,benefit_harm,nco1,seq_itt_m4,0.000511860228033907,5.16037240092256e-05,937756 +W1_rho0,benefit_harm,nco1,seq_itt_m4,0.000469205209031374,5.5959789113907e-05,937756 W1_rho0,benefit_harm,nco2,seq_itt_m4,0.000225005225240159,3.62089634236201e-05,937756 +W1_rho0,benefit_harm,limb,seq_itt_m5,0.0892945233932833,0.000361542736398346,924368 W1_rho0,benefit_harm,male,seq_itt_m5,0.2164549183875,0.000468992510479791,924368 W1_rho0,benefit_harm,disease,seq_itt_m5,0.0821491007910351,0.000338811919351015,924368 W1_rho0,benefit_harm,clti,seq_itt_m5,0.0833282848389423,0.000336906089830304,924368 @@ -1095,8 +1212,14 @@ W1_rho0,benefit_harm,amp,seq_itt_m5,0.0198687102971974,0.000179344524692667,9243 W1_rho0,benefit_harm,bypass,seq_itt_m5,0.0363459141813629,0.000228030496775186,924368 W1_rho0,benefit_harm,rr,seq_itt_m5,0.222091201772452,0.000433940981693204,924368 W1_rho0,benefit_harm,death,seq_itt_m5,0.0251512384677952,0.000230476735482927,924368 -W1_rho0,benefit_harm,nco1,seq_itt_m5,0.000563628338497124,5.09112086846703e-05,924368 +W1_rho0,benefit_harm,nco1,seq_itt_m5,0.000544155574403425,5.51911675841855e-05,924368 W1_rho0,benefit_harm,nco2,seq_itt_m5,0.00025855503435856,3.62198100329264e-05,924368 +W2,null,limb,risk_natural,0.139808999999996,0.000346788932608114,1000000 +W2,null,limb,risk_A,0.139808999999996,0.000346788932608114,1000000 +W2,null,limb,risk_B1,0.139808999999996,0.000346788932608114,1000000 +W2,null,limb,risk_B2,0.139808999999996,0.000346788932608114,1000000 +W2,null,limb,rd_A_B1,0,0,1000000 +W2,null,limb,rd_A_B2,0,0,1000000 W2,null,male,risk_natural,0.148046000000003,0.000355145756008611,1000000 W2,null,male,risk_A,0.291192999999999,0.000454312495043365,1000000 W2,null,male,risk_B1,0.142938999999997,0.000350010806666869,1000000 @@ -1139,10 +1262,10 @@ W2,null,death,risk_B1,0.349184999999998,0.000476712767851044,1000000 W2,null,death,risk_B2,0.349184999999998,0.000476712767851044,1000000 W2,null,death,rd_A_B1,0,0,1000000 W2,null,death,rd_A_B2,0,0,1000000 -W2,null,nco1,risk_natural,0.0922460000000014,0.000289373045081013,1000000 -W2,null,nco1,risk_A,0.0922460000000014,0.000289373045081013,1000000 -W2,null,nco1,risk_B1,0.0922460000000014,0.000289373045081013,1000000 -W2,null,nco1,risk_B2,0.0922460000000014,0.000289373045081013,1000000 +W2,null,nco1,risk_natural,0.0921310000000029,0.000289210930779441,1000000 +W2,null,nco1,risk_A,0.0921310000000029,0.000289210930779441,1000000 +W2,null,nco1,risk_B1,0.0921310000000029,0.000289210930779441,1000000 +W2,null,nco1,risk_B2,0.0921310000000029,0.000289210930779441,1000000 W2,null,nco1,rd_A_B1,0,0,1000000 W2,null,nco1,rd_A_B2,0,0,1000000 W2,null,nco2,risk_natural,0.0591680000000003,0.000235938982458693,1000000 @@ -1156,6 +1279,7 @@ W2,null,n_proc,mean_A,1.215693,0.000586187575242701,1000000 W2,null,n_proc,mean_B1,0.095432,0.000335953637042188,1000000 W2,null,n_proc,mean_B2,0.062049,0.000271652342881146,1000000 W2,null,n_proc,diff_A_B1,1.120261,0.000551772232295677,1000000 +W2,null,limb,seq_itt,0,0,5740573 W2,null,male,seq_itt,0.157399444271503,0.000151996548593,5740573 W2,null,disease,seq_itt,0,0,5740573 W2,null,clti,seq_itt,0,0,5740573 @@ -1165,6 +1289,7 @@ W2,null,rr,seq_itt,0.197287448482931,0.000166091950331989,5740573 W2,null,death,seq_itt,0,0,5740573 W2,null,nco1,seq_itt,0,0,5740573 W2,null,nco2,seq_itt,0,0,5740573 +W2,null,limb,seq_itt_m0,0,0,991543 W2,null,male,seq_itt_m0,0.158575069361589,0.000366834003324659,991543 W2,null,disease,seq_itt_m0,0,0,991543 W2,null,clti,seq_itt_m0,0,0,991543 @@ -1174,6 +1299,7 @@ W2,null,rr,seq_itt_m0,0.199478993850999,0.000401309456244205,991543 W2,null,death,seq_itt_m0,0,0,991543 W2,null,nco1,seq_itt_m0,0,0,991543 W2,null,nco2,seq_itt_m0,0,0,991543 +W2,null,limb,seq_itt_m1,0,0,977119 W2,null,male,seq_itt_m1,0.15821102649728,0.000369187071075577,977119 W2,null,disease,seq_itt_m1,0,0,977119 W2,null,clti,seq_itt_m1,0,0,977119 @@ -1183,6 +1309,7 @@ W2,null,rr,seq_itt_m1,0.198765964022804,0.000403717148975968,977119 W2,null,death,seq_itt_m1,0,0,977119 W2,null,nco1,seq_itt_m1,0,0,977119 W2,null,nco2,seq_itt_m1,0,0,977119 +W2,null,limb,seq_itt_m2,0,0,963154 W2,null,male,seq_itt_m2,0.157714135018903,0.00037137907024163,963154 W2,null,disease,seq_itt_m2,0,0,963154 W2,null,clti,seq_itt_m2,0,0,963154 @@ -1192,6 +1319,7 @@ W2,null,rr,seq_itt_m2,0.197828177010117,0.000405910359252634,963154 W2,null,death,seq_itt_m2,0,0,963154 W2,null,nco1,seq_itt_m2,0,0,963154 W2,null,nco2,seq_itt_m2,0,0,963154 +W2,null,limb,seq_itt_m3,0,0,949485 W2,null,male,seq_itt_m3,0.157226285828633,0.000373571935950188,949485 W2,null,disease,seq_itt_m3,0,0,949485 W2,null,clti,seq_itt_m3,0,0,949485 @@ -1201,6 +1329,7 @@ W2,null,rr,seq_itt_m3,0.196946765878341,0.000408133993913615,949485 W2,null,death,seq_itt_m3,0,0,949485 W2,null,nco1,seq_itt_m3,0,0,949485 W2,null,nco2,seq_itt_m3,0,0,949485 +W2,null,limb,seq_itt_m4,0,0,936234 W2,null,male,seq_itt_m4,0.156610420044563,0.000375605955971922,936234 W2,null,disease,seq_itt_m4,0,0,936234 W2,null,clti,seq_itt_m4,0,0,936234 @@ -1210,6 +1339,7 @@ W2,null,rr,seq_itt_m4,0.195838860797623,0.000410137052230466,936234 W2,null,death,seq_itt_m4,0,0,936234 W2,null,nco1,seq_itt_m4,0,0,936234 W2,null,nco2,seq_itt_m4,0,0,936234 +W2,null,limb,seq_itt_m5,0,0,923038 W2,null,male,seq_itt_m5,0.155927491609233,0.000377608419293218,923038 W2,null,disease,seq_itt_m5,0,0,923038 W2,null,clti,seq_itt_m5,0,0,923038 @@ -1219,6 +1349,12 @@ W2,null,rr,seq_itt_m5,0.194623623296119,0.000412085814791042,923038 W2,null,death,seq_itt_m5,0,0,923038 W2,null,nco1,seq_itt_m5,0,0,923038 W2,null,nco2,seq_itt_m5,0,0,923038 +W2,harm,limb,risk_natural,0.143398000000002,0.000350478439326769,1000000 +W2,harm,limb,risk_A,0.202188999999999,0.000401632630134681,1000000 +W2,harm,limb,risk_B1,0.140488999999998,0.000347493829629437,1000000 +W2,harm,limb,risk_B2,0.139808999999996,0.000346788932608114,1000000 +W2,harm,limb,rd_A_B1,0.061700000000001,0.000248340837709485,1000000 +W2,harm,limb,rd_A_B2,0.0623800000000001,0.000249565217696156,1000000 W2,harm,male,risk_natural,0.151482999999998,0.000358519217403848,1000000 W2,harm,male,risk_A,0.356561000000001,0.00047898380213406,1000000 W2,harm,male,risk_B1,0.143719999999999,0.00035080576487116,1000000 @@ -1261,12 +1397,12 @@ W2,harm,death,risk_B1,0.349530999999995,0.000476822091982805,1000000 W2,harm,death,risk_B2,0.349266,0.000476738385828062,1000000 W2,harm,death,rd_A_B1,0.0255569999999998,0.000160511262890121,1000000 W2,harm,death,rd_A_B2,0.0258219999999991,0.000161298637107755,1000000 -W2,harm,nco1,risk_natural,0.0922130000000028,0.0002893265392969,1000000 -W2,harm,nco1,risk_A,0.0914269999999984,0.000288215521338584,1000000 -W2,harm,nco1,risk_B1,0.0922440000000035,0.000289370226870602,1000000 -W2,harm,nco1,risk_B2,0.092245000000001,0.000289371635982334,1000000 -W2,harm,nco1,rd_A_B1,-0.0008169999999995,3.07300090355002e-05,1000000 -W2,harm,nco1,rd_A_B2,-0.00081800000000033,3.0746248898644e-05,1000000 +W2,harm,nco1,risk_natural,0.0920799999999974,0.000289138992877022,1000000 +W2,harm,nco1,risk_A,0.0910919999999975,0.000287740039497131,1000000 +W2,harm,nco1,risk_B1,0.0921239999999964,0.00028920105854097,1000000 +W2,harm,nco1,risk_B2,0.0921290000000001,0.000289208110189273,1000000 +W2,harm,nco1,rd_A_B1,-0.00103199999999933,3.4422901692358e-05,1000000 +W2,harm,nco1,rd_A_B2,-0.00103700000000124,3.44953014329018e-05,1000000 W2,harm,nco2,risk_natural,0.059108999999999,0.000235828712703119,1000000 W2,harm,nco2,risk_A,0.058721999999999,0.000235103768555086,1000000 W2,harm,nco2,risk_B1,0.0591570000000006,0.000235918428719213,1000000 @@ -1278,6 +1414,7 @@ W2,harm,n_proc,mean_A,1.272736,0.000645361519457118,1000000 W2,harm,n_proc,mean_B1,0.096258,0.000340406394349544,1000000 W2,harm,n_proc,mean_B2,0.062227,0.000273069359389815,1000000 W2,harm,n_proc,diff_A_B1,1.176478,0.000616642437527044,1000000 +W2,harm,limb,seq_itt,0.0692359456103068,0.000109255175941862,5740573 W2,harm,male,seq_itt,0.229258995574135,0.000177097307124463,5740573 W2,harm,disease,seq_itt,0.0572028262683902,9.97596935263402e-05,5740573 W2,harm,clti,seq_itt,0.0565283291406626,9.89889212052464e-05,5740573 @@ -1285,8 +1422,9 @@ W2,harm,amp,seq_itt,0.0123430187195599,4.88437449618328e-05,5740573 W2,harm,bypass,seq_itt,0.0205209479959587,6.15089466381271e-05,5740573 W2,harm,rr,seq_itt,0.228322677892955,0.000175294910692137,5740573 W2,harm,death,seq_itt,0.0290493649327339,7.11383383928944e-05,5740573 -W2,harm,nco1,seq_itt,-0.000965931449700261,1.39594045568313e-05,5740573 +W2,harm,nco1,seq_itt,-0.00122810040043032,1.56287216379869e-05,5740573 W2,harm,nco2,seq_itt,-0.00049245955064073,9.80414859026344e-06,5740573 +W2,harm,limb,seq_itt_m0,0.0742448890264976,0.000271452481216779,991543 W2,harm,male,seq_itt_m0,0.234577824663176,0.000429707727342227,991543 W2,harm,disease,seq_itt_m0,0.0615495243272368,0.000248345573665756,991543 W2,harm,clti,seq_itt_m0,0.0609000315669628,0.000246563431106049,991543 @@ -1294,8 +1432,9 @@ W2,harm,amp,seq_itt_m0,0.0135909385674649,0.000123184571786014,991543 W2,harm,bypass,seq_itt_m0,0.022200751757616,0.000153820756950064,991543 W2,harm,rr,seq_itt_m0,0.232635397557138,0.000424631051727474,991543 W2,harm,death,seq_itt_m0,0.0312966759888356,0.000177119173051824,991543 -W2,harm,nco1,seq_itt_m0,-0.00108820293219723,3.55114990783536e-05,991543 +W2,harm,nco1,seq_itt_m0,-0.00138672755493121,3.97198518537514e-05,991543 W2,harm,nco2,seq_itt_m0,-0.000565784842412701,2.53276029282959e-05,991543 +W2,harm,limb,seq_itt_m1,0.0721713527216218,0.000269865030671822,977119 W2,harm,male,seq_itt_m1,0.23257863167127,0.000431474343157783,977119 W2,harm,disease,seq_itt_m1,0.0597521898561028,0.000246710169621863,977119 W2,harm,clti,seq_itt_m1,0.0590931094370336,0.000244874713718799,977119 @@ -1303,8 +1442,9 @@ W2,harm,amp,seq_itt_m1,0.0130731262005963,0.000121872649304892,977119 W2,harm,bypass,seq_itt_m1,0.021473331293323,0.000152456368431791,977119 W2,harm,rr,seq_itt_m1,0.231054764056375,0.000426699034180789,977119 W2,harm,death,seq_itt_m1,0.030386268202747,0.000175994459823486,977119 -W2,harm,nco1,seq_itt_m1,-0.00102136996619671,3.49610603241922e-05,977119 +W2,harm,nco1,seq_itt_m1,-0.00131099692053983,3.90956215940597e-05,977119 W2,harm,nco2,seq_itt_m1,-0.000522965984695711,2.47475083087486e-05,977119 +W2,harm,limb,seq_itt_m2,0.0701165130394471,0.000268299965225033,963154 W2,harm,male,seq_itt_m2,0.230368144658071,0.000433135654032385,963154 W2,harm,disease,seq_itt_m2,0.0579440048008915,0.000245004689253074,963154 W2,harm,clti,seq_itt_m2,0.0572691386839481,0.000243098507904799,963154 @@ -1312,8 +1452,9 @@ W2,harm,amp,seq_itt_m2,0.0126002695311448,0.000120397796240166,963154 W2,harm,bypass,seq_itt_m2,0.0208118327910198,0.000151235916646051,963154 W2,harm,rr,seq_itt_m2,0.229292511893215,0.00042861511309514,963154 W2,harm,death,seq_itt_m2,0.0294252009543649,0.000174862365458402,963154 -W2,harm,nco1,seq_itt_m2,-0.000988419297433414,3.46388599994051e-05,963154 +W2,harm,nco1,seq_itt_m2,-0.00125628923308145,3.8771322990761e-05,963154 W2,harm,nco2,seq_itt_m2,-0.000493171393151836,2.42331230687057e-05,963154 +W2,harm,limb,seq_itt_m3,0.0681443098100508,0.000266639169978345,949485 W2,harm,male,seq_itt_m3,0.228231093698162,0.000434690820019485,949485 W2,harm,disease,seq_itt_m3,0.0562683981316251,0.00024336468329357,949485 W2,harm,clti,seq_itt_m3,0.055595401717778,0.0002414576549866,949485 @@ -1321,8 +1462,9 @@ W2,harm,amp,seq_itt_m3,0.0120749669557696,0.000118664538756566,949485 W2,harm,bypass,seq_itt_m3,0.0201540835294936,0.000149859849400854,949485 W2,harm,rr,seq_itt_m3,0.227565469701995,0.000430506249300441,949485 W2,harm,death,seq_itt_m3,0.0285765441265542,0.000173582542270671,949485 -W2,harm,nco1,seq_itt_m3,-0.00093945665281735,3.38201532849082e-05,949485 +W2,harm,nco1,seq_itt_m3,-0.00119011885390465,3.79833447770643e-05,949485 W2,harm,nco2,seq_itt_m3,-0.000482366756715836,2.37795221641765e-05,949485 +W2,harm,limb,seq_itt_m4,0.0660892469190433,0.000264894904460938,936234 W2,harm,male,seq_itt_m4,0.225791842637631,0.00043614586727684,936234 W2,harm,disease,seq_itt_m4,0.0544735610969102,0.000241548326714604,936234 W2,harm,clti,seq_itt_m4,0.0537856988744224,0.000239593836329783,936234 @@ -1330,8 +1472,9 @@ W2,harm,amp,seq_itt_m4,0.0115451906254212,0.00011711376488005,936234 W2,harm,bypass,seq_itt_m4,0.0194726959285805,0.000148463368017498,936234 W2,harm,rr,seq_itt_m4,0.225502385087489,0.000432148040964922,936234 W2,harm,death,seq_itt_m4,0.0276608198377744,0.000172196588014267,936234 -W2,harm,nco1,seq_itt_m4,-0.000890802940290755,3.31158263605593e-05,936234 +W2,harm,nco1,seq_itt_m4,-0.00113219558358337,3.71050867247106e-05,936234 W2,harm,nco2,seq_itt_m4,-0.000460354996720938,2.3027650228809e-05,936234 +W2,harm,limb,seq_itt_m5,0.0641436213893703,0.000263168155787478,923038 W2,harm,male,seq_itt_m5,0.223448005390896,0.000437595013246491,923038 W2,harm,disease,seq_itt_m5,0.0527908926826373,0.000239790859978501,923038 W2,harm,clti,seq_itt_m5,0.0520856129433404,0.000237828054391749,923038 @@ -1339,8 +1482,14 @@ W2,harm,amp,seq_itt_m5,0.0110461324452514,0.000115446658981795,923038 W2,harm,bypass,seq_itt_m5,0.0188453779801053,0.000147113155622032,923038 W2,harm,rr,seq_itt_m5,0.223425254431563,0.000433778225263494,923038 W2,harm,death,seq_itt_m5,0.0267226268040972,0.000170730656373481,923038 -W2,harm,nco1,seq_itt_m5,-0.000855869422493693,3.26693090114815e-05,923038 +W2,harm,nco1,seq_itt_m5,-0.00107687874172002,3.65298120784854e-05,923038 W2,harm,nco2,seq_itt_m5,-0.000423601195183592,2.25393571522221e-05,923038 +W2,benefit_harm,limb,risk_natural,0.141744000000002,0.000348787557287175,1000000 +W2,benefit_harm,limb,risk_A,0.175572999999999,0.000380456655111896,1000000 +W2,benefit_harm,limb,risk_B1,0.139567,0.000346537404331824,1000000 +W2,benefit_harm,limb,risk_B2,0.139808999999996,0.000346788932608114,1000000 +W2,benefit_harm,limb,rd_A_B1,0.0360060000000011,0.000257948899011172,1000000 +W2,benefit_harm,limb,rd_A_B2,0.035764,0.000257800315682494,1000000 W2,benefit_harm,male,risk_natural,0.149399000000002,0.000356481508462783,1000000 W2,benefit_harm,male,risk_A,0.322050000000003,0.000467262255946746,1000000 W2,benefit_harm,male,risk_B1,0.142476000000003,0.000349537854319418,1000000 @@ -1383,12 +1532,12 @@ W2,benefit_harm,death,risk_B1,0.348576,0.000476519673566622,1000000 W2,benefit_harm,death,risk_B2,0.348829000000001,0.000476599995706126,1000000 W2,benefit_harm,death,rd_A_B1,0.00852599999999846,0.000168657450976273,1000000 W2,benefit_harm,death,rd_A_B2,0.00827299999999876,0.00016829315432672,1000000 -W2,benefit_harm,nco1,risk_natural,0.0923189999999973,0.00028947588161089,1000000 -W2,benefit_harm,nco1,risk_A,0.093270000000002,0.000290810576956958,1000000 -W2,benefit_harm,nco1,risk_B1,0.0922910000000011,0.000289436443960456,1000000 -W2,benefit_harm,nco1,risk_B2,0.0922660000000026,0.000289401224938363,1000000 -W2,benefit_harm,nco1,rd_A_B1,0.000978999999999651,4.11344533332502e-05,1000000 -W2,benefit_harm,nco1,rd_A_B2,0.00100400000000064,4.10730285100907e-05,1000000 +W2,benefit_harm,nco1,risk_natural,0.0922269999999981,0.00028934627039297,1000000 +W2,benefit_harm,nco1,risk_A,0.0932550000000008,0.000290789596675227,1000000 +W2,benefit_harm,nco1,risk_B1,0.0921809999999979,0.000289281432040898,1000000 +W2,benefit_harm,nco1,risk_B2,0.0921550000000019,0.000289244774608429,1000000 +W2,benefit_harm,nco1,rd_A_B1,0.00107400000000048,4.4641331933865e-05,1000000 +W2,benefit_harm,nco1,rd_A_B2,0.00109999999999999,4.45510043071538e-05,1000000 W2,benefit_harm,nco2,risk_natural,0.0592279999999998,0.000236051053240281,1000000 W2,benefit_harm,nco2,risk_A,0.0596870000000014,0.000236906137857896,1000000 W2,benefit_harm,nco2,risk_B1,0.0592049999999995,0.000236008100865293,1000000 @@ -1400,6 +1549,7 @@ W2,benefit_harm,n_proc,mean_A,1.234048,0.000605683003347332,1000000 W2,benefit_harm,n_proc,mean_B1,0.09478,0.000332741434622697,1000000 W2,benefit_harm,n_proc,mean_B2,0.061828,0.000270198762808841,1000000 W2,benefit_harm,n_proc,diff_A_B1,1.139268,0.000592733308921844,1000000 +W2,benefit_harm,limb,seq_itt,0.0470451294670413,0.000115277378426131,5740573 W2,benefit_harm,male,seq_itt,0.199151722310647,0.000179211608783304,5740573 W2,benefit_harm,disease,seq_itt,0.0397596198149562,0.000104477758443847,5740573 W2,benefit_harm,clti,seq_itt,0.0400261437316453,0.00010318398951535,5740573 @@ -1407,8 +1557,9 @@ W2,benefit_harm,amp,seq_itt,0.00560762836741194,4.99078678416331e-05,5740573 W2,benefit_harm,bypass,seq_itt,0.0133261958344576,6.44722891529674e-05,5740573 W2,benefit_harm,rr,seq_itt,0.20791408801874,0.000169978258264586,5740573 W2,benefit_harm,death,seq_itt,0.012649782521709,7.51770864053436e-05,5740573 -W2,benefit_harm,nco1,seq_itt,0.000950601969524624,1.83610651776938e-05,5740573 +W2,benefit_harm,nco1,seq_itt,0.000977428559832008,1.97540478400028e-05,5740573 W2,benefit_harm,nco2,seq_itt,0.00045343905564846,1.26264788427305e-05,5740573 +W2,benefit_harm,limb,seq_itt_m0,0.0570777061609994,0.000290517264338298,991543 W2,benefit_harm,male,seq_itt_m0,0.209742794815748,0.000436854017707668,991543 W2,benefit_harm,disease,seq_itt_m0,0.0483216562468782,0.000264299743194905,991543 W2,benefit_harm,clti,seq_itt_m0,0.0485818567626446,0.00026141890430758,991543 @@ -1416,8 +1567,9 @@ W2,benefit_harm,amp,seq_itt_m0,0.00761842905451325,0.000127428230338971,991543 W2,benefit_harm,bypass,seq_itt_m0,0.016395658080387,0.00016371283602771,991543 W2,benefit_harm,rr,seq_itt_m0,0.214063333612361,0.000413474293882802,991543 W2,benefit_harm,death,seq_itt_m0,0.0165933297900323,0.000188122517922153,991543 -W2,benefit_harm,nco1,seq_itt_m0,0.000850190057314642,4.60654487142199e-05,991543 +W2,benefit_harm,nco1,seq_itt_m0,0.000804806246425984,4.9297995112252e-05,991543 W2,benefit_harm,nco2,seq_itt_m0,0.000398369006689953,3.12943780375825e-05,991543 +W2,benefit_harm,limb,seq_itt_m1,0.0527755575318911,0.000287160159719942,977119 W2,benefit_harm,male,seq_itt_m1,0.205318901791898,0.000437809410328862,977119 W2,benefit_harm,disease,seq_itt_m1,0.0446547452255073,0.000260733674710708,977119 W2,benefit_harm,clti,seq_itt_m1,0.0449269740942523,0.000257723937202507,977119 @@ -1425,8 +1577,9 @@ W2,benefit_harm,amp,seq_itt_m1,0.00671668445706258,0.000125296203415115,977119 W2,benefit_harm,bypass,seq_itt_m1,0.0150575313754009,0.000161412926499303,977119 W2,benefit_harm,rr,seq_itt_m1,0.211655898616236,0.000414750282603578,977119 W2,benefit_harm,death,seq_itt_m1,0.0149152764402269,0.000186634466299765,977119 -W2,benefit_harm,nco1,seq_itt_m1,0.00090265361742022,4.57137029777161e-05,977119 +W2,benefit_harm,nco1,seq_itt_m1,0.000891396032622679,4.8976946616263e-05,977119 W2,benefit_harm,nco2,seq_itt_m1,0.0004226711383155,3.12574074629987e-05,977119 +W2,benefit_harm,limb,seq_itt_m2,0.0487346779435075,0.000283771638794452,963154 W2,benefit_harm,male,seq_itt_m2,0.201156824350006,0.000438687311582287,963154 W2,benefit_harm,disease,seq_itt_m2,0.041186559989367,0.000257335017249701,963154 W2,benefit_harm,clti,seq_itt_m2,0.0414492386471952,0.000254182532459456,963154 @@ -1434,8 +1587,9 @@ W2,benefit_harm,amp,seq_itt_m2,0.00591701846226024,0.00012314294679583,963154 W2,benefit_harm,bypass,seq_itt_m2,0.0138316406306765,0.000158821744245508,963154 W2,benefit_harm,rr,seq_itt_m2,0.20909221162971,0.000415877415959489,963154 W2,benefit_harm,death,seq_itt_m2,0.013286556459298,0.000185086360057415,963154 -W2,benefit_harm,nco1,seq_itt_m2,0.000929238730255184,4.50915035918419e-05,963154 +W2,benefit_harm,nco1,seq_itt_m2,0.000953118608239121,4.85558206882515e-05,963154 W2,benefit_harm,nco2,seq_itt_m2,0.000448526403877437,3.10403195240359e-05,963154 +W2,benefit_harm,limb,seq_itt_m3,0.0449053960831367,0.000280457457178294,949485 W2,benefit_harm,male,seq_itt_m3,0.196977308751586,0.000439539040785714,949485 W2,benefit_harm,disease,seq_itt_m3,0.0379131845158173,0.000253962187576928,949485 W2,benefit_harm,clti,seq_itt_m3,0.0381659531219527,0.000250664417778976,949485 @@ -1443,8 +1597,9 @@ W2,benefit_harm,amp,seq_itt_m3,0.0051659583879677,0.000120956423493249,949485 W2,benefit_harm,bypass,seq_itt_m3,0.0126689731801976,0.000156430282310303,949485 W2,benefit_harm,rr,seq_itt_m3,0.206653080354089,0.000417022901468802,949485 W2,benefit_harm,death,seq_itt_m3,0.0116831756162548,0.000183055659262809,949485 -W2,benefit_harm,nco1,seq_itt_m3,0.000975265538686623,4.46724116603624e-05,949485 +W2,benefit_harm,nco1,seq_itt_m3,0.00101739363970976,4.82065350527946e-05,949485 W2,benefit_harm,nco2,seq_itt_m3,0.000465515516306529,3.06660155758809e-05,949485 +W2,benefit_harm,limb,seq_itt_m4,0.0408177870062442,0.000276661314207191,936234 W2,benefit_harm,male,seq_itt_m4,0.192495679498932,0.000439964236674275,936234 W2,benefit_harm,disease,seq_itt_m4,0.0344700149748908,0.0002501465818697,936234 W2,benefit_harm,clti,seq_itt_m4,0.0347220887085911,0.000246798633551514,936234 @@ -1452,8 +1607,9 @@ W2,benefit_harm,amp,seq_itt_m4,0.00439633681323275,0.000118631856151196,936234 W2,benefit_harm,bypass,seq_itt_m4,0.0113913829234988,0.000153805970122806,936234 W2,benefit_harm,rr,seq_itt_m4,0.204018439834484,0.000417945765922983,936234 W2,benefit_harm,death,seq_itt_m4,0.0102591873399183,0.000181309712600435,936234 -W2,benefit_harm,nco1,seq_itt_m4,0.0010243165704303,4.4168853212928e-05,936234 +W2,benefit_harm,nco1,seq_itt_m4,0.00109481176714383,4.76462832836613e-05,936234 W2,benefit_harm,nco2,seq_itt_m4,0.00048705772274908,3.06191445056844e-05,936234 +W2,benefit_harm,limb,seq_itt_m5,0.0369562249874866,0.000273027457098459,923038 W2,benefit_harm,male,seq_itt_m5,0.188141766644495,0.000440583891287795,923038 W2,benefit_harm,disease,seq_itt_m5,0.0311558137368125,0.000246349232868539,923038 W2,benefit_harm,clti,seq_itt_m5,0.031455909724194,0.000242942115103247,923038 @@ -1461,8 +1617,14 @@ W2,benefit_harm,amp,seq_itt_m5,0.00363365321904391,0.000116360278811158,923038 W2,benefit_harm,bypass,seq_itt_m5,0.0103072679564664,0.000151510304914953,923038 W2,benefit_harm,rr,seq_itt_m5,0.201366574290552,0.000418859264866539,923038 W2,benefit_harm,death,seq_itt_m5,0.00876995313302299,0.000179298529639784,923038 -W2,benefit_harm,nco1,seq_itt_m5,0.00103137682305562,4.37800403735575e-05,923038 +W2,benefit_harm,nco1,seq_itt_m5,0.00111913052333751,4.73207999716592e-05,923038 W2,benefit_harm,nco2,seq_itt_m5,0.000503771242354304,3.05421935662829e-05,923038 +W3,null,limb,risk_natural,0.139507999999997,0.000346476028000833,1000000 +W3,null,limb,risk_A,0.139507999999997,0.000346476028000833,1000000 +W3,null,limb,risk_B1,0.139507999999997,0.000346476028000833,1000000 +W3,null,limb,risk_B2,0.139507999999997,0.000346476028000833,1000000 +W3,null,limb,rd_A_B1,0,0,1000000 +W3,null,limb,rd_A_B2,0,0,1000000 W3,null,male,risk_natural,0.148136000000003,0.000355234924657817,1000000 W3,null,male,risk_A,0.222792,0.00041612005226069,1000000 W3,null,male,risk_B1,0.143065999999998,0.000350140317934292,1000000 @@ -1505,10 +1667,10 @@ W3,null,death,risk_B1,0.349133000000003,0.000476696313757767,1000000 W3,null,death,risk_B2,0.349133000000003,0.000476696313757767,1000000 W3,null,death,rd_A_B1,0,0,1000000 W3,null,death,rd_A_B2,0,0,1000000 -W3,null,nco1,risk_natural,0.0922289999999975,0.000289349088960124,1000000 -W3,null,nco1,risk_A,0.0922289999999975,0.000289349088960124,1000000 -W3,null,nco1,risk_B1,0.0922289999999975,0.000289349088960124,1000000 -W3,null,nco1,risk_B2,0.0922289999999975,0.000289349088960124,1000000 +W3,null,nco1,risk_natural,0.0921230000000039,0.00028919964818071,1000000 +W3,null,nco1,risk_A,0.0921230000000039,0.00028919964818071,1000000 +W3,null,nco1,risk_B1,0.0921230000000039,0.00028919964818071,1000000 +W3,null,nco1,risk_B2,0.0921230000000039,0.00028919964818071,1000000 W3,null,nco1,rd_A_B1,0,0,1000000 W3,null,nco1,rd_A_B2,0,0,1000000 W3,null,nco2,risk_natural,0.0591619999999996,0.000235927771611866,1000000 @@ -1522,6 +1684,7 @@ W3,null,n_proc,mean_A,1.121308,0.00048829971080258,1000000 W3,null,n_proc,mean_B1,0.094916,0.000336643827026633,1000000 W3,null,n_proc,mean_B2,0.061438,0.000266648538826343,1000000 W3,null,n_proc,diff_A_B1,1.026392,0.000437736968911733,1000000 +W3,null,limb,seq_itt,0,0,5740573 W3,null,male,seq_itt,0.0826565571067555,0.000114928088666488,5740573 W3,null,disease,seq_itt,0,0,5740573 W3,null,clti,seq_itt,0,0,5740573 @@ -1531,6 +1694,7 @@ W3,null,rr,seq_itt,0.110422426472063,0.000130809780806871,5740573 W3,null,death,seq_itt,0,0,5740573 W3,null,nco1,seq_itt,0,0,5740573 W3,null,nco2,seq_itt,0,0,5740573 +W3,null,limb,seq_itt_m0,0,0,991529 W3,null,male,seq_itt_m0,0.0834670493752574,0.000277765997385396,991529 W3,null,disease,seq_itt_m0,0,0,991529 W3,null,clti,seq_itt_m0,0,0,991529 @@ -1540,6 +1704,7 @@ W3,null,rr,seq_itt_m0,0.111990672990906,0.000316699370017327,991529 W3,null,death,seq_itt_m0,0,0,991529 W3,null,nco1,seq_itt_m0,0,0,991529 W3,null,nco2,seq_itt_m0,0,0,991529 +W3,null,limb,seq_itt_m1,0,0,977118 W3,null,male,seq_itt_m1,0.0831946602150396,0.00027939138372861,977118 W3,null,disease,seq_itt_m1,0,0,977118 W3,null,clti,seq_itt_m1,0,0,977118 @@ -1549,6 +1714,7 @@ W3,null,rr,seq_itt_m1,0.111440992797185,0.000318340825700108,977118 W3,null,death,seq_itt_m1,0,0,977118 W3,null,nco1,seq_itt_m1,0,0,977118 W3,null,nco2,seq_itt_m1,0,0,977118 +W3,null,limb,seq_itt_m2,0,0,963167 W3,null,male,seq_itt_m2,0.0828547904984276,0.000280884187443979,963167 W3,null,disease,seq_itt_m2,0,0,963167 W3,null,clti,seq_itt_m2,0,0,963167 @@ -1558,6 +1724,7 @@ W3,null,rr,seq_itt_m2,0.110773105806162,0.000319795898227518,963167 W3,null,death,seq_itt_m2,0,0,963167 W3,null,nco1,seq_itt_m2,0,0,963167 W3,null,nco2,seq_itt_m2,0,0,963167 +W3,null,limb,seq_itt_m3,0,0,949490 W3,null,male,seq_itt_m3,0.0825095577625861,0.000282363096063146,949490 W3,null,disease,seq_itt_m3,0,0,949490 W3,null,clti,seq_itt_m3,0,0,949490 @@ -1567,6 +1734,7 @@ W3,null,rr,seq_itt_m3,0.110145446502862,0.000321290451311516,949490 W3,null,death,seq_itt_m3,0,0,949490 W3,null,nco1,seq_itt_m3,0,0,949490 W3,null,nco2,seq_itt_m3,0,0,949490 +W3,null,limb,seq_itt_m4,0,0,936232 W3,null,male,seq_itt_m4,0.0821452375052354,0.00028378319181756,936232 W3,null,disease,seq_itt_m4,0,0,936232 W3,null,clti,seq_itt_m4,0,0,936232 @@ -1576,6 +1744,7 @@ W3,null,rr,seq_itt_m4,0.109404506575297,0.00032260147139939,936232 W3,null,death,seq_itt_m4,0,0,936232 W3,null,nco1,seq_itt_m4,0,0,936232 W3,null,nco2,seq_itt_m4,0,0,936232 +W3,null,limb,seq_itt_m5,0,0,923037 W3,null,male,seq_itt_m5,0.0816792826289753,0.000285064954269267,923037 W3,null,disease,seq_itt_m5,0,0,923037 W3,null,clti,seq_itt_m5,0,0,923037 @@ -1585,6 +1754,12 @@ W3,null,rr,seq_itt_m5,0.108611030760413,0.000323862956081174,923037 W3,null,death,seq_itt_m5,0,0,923037 W3,null,nco1,seq_itt_m5,0,0,923037 W3,null,nco2,seq_itt_m5,0,0,923037 +W3,harm,limb,risk_natural,0.142973999999998,0.000350046508130536,1000000 +W3,harm,limb,risk_A,0.200735999999997,0.000400551143728028,1000000 +W3,harm,limb,risk_B1,0.140130000000001,0.000347122029828124,1000000 +W3,harm,limb,risk_B2,0.139507999999997,0.000346476028000833,1000000 +W3,harm,limb,rd_A_B1,0.0606059999999962,0.000246306665422089,1000000 +W3,harm,limb,rd_A_B2,0.0612279999999995,0.000247445333849745,1000000 W3,harm,male,risk_natural,0.151441999999998,0.000358479356648611,1000000 W3,harm,male,risk_A,0.286041000000001,0.000451909006928766,1000000 W3,harm,male,risk_B1,0.143777,0.000350863644989747,1000000 @@ -1627,12 +1802,12 @@ W3,harm,death,risk_B1,0.349466999999998,0.000476801890989157,1000000 W3,harm,death,risk_B2,0.349212000000001,0.000476721308860055,1000000 W3,harm,death,rd_A_B1,0.0254660000000005,0.000160179613250277,1000000 W3,harm,death,rd_A_B2,0.0257209999999988,0.000160933079439976,1000000 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W3,harm,nco2,risk_B1,0.0591530000000007,0.000235910954057017,1000000 @@ -1644,6 +1819,7 @@ W3,harm,n_proc,mean_A,1.162949,0.000539424614175414,1000000 W3,harm,n_proc,mean_B1,0.095744,0.000341457468880853,1000000 W3,harm,n_proc,mean_B2,0.061547,0.000267508950041445,1000000 W3,harm,n_proc,diff_A_B1,1.067205,0.000495175456962947,1000000 +W3,harm,limb,seq_itt,0.06801481315541,0.000108428407612913,5740573 W3,harm,male,seq_itt,0.152777257601287,0.000152300283815277,5740573 W3,harm,disease,seq_itt,0.055807320976498,9.86725242841509e-05,5740573 W3,harm,clti,seq_itt,0.0550971131279051,9.78570561421219e-05,5740573 @@ -1651,8 +1827,9 @@ W3,harm,amp,seq_itt,0.0120935662694295,4.83451755436061e-05,5740573 W3,harm,bypass,seq_itt,0.0205434196203057,6.15261516430017e-05,5740573 W3,harm,rr,seq_itt,0.130520071776808,0.000140741901903591,5740573 W3,harm,death,seq_itt,0.0289173223648578,7.0960710005956e-05,5740573 -W3,harm,nco1,seq_itt,-0.000953911743653431,1.39780184655377e-05,5740573 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W3,harm,disease,seq_itt_m2,0.0565862410153228,0.000242379915629534,963167 W3,harm,clti,seq_itt_m2,0.055888542693019,0.000240387282641223,963167 @@ -1678,8 +1857,9 @@ W3,harm,amp,seq_itt_m2,0.0123104300707975,0.000119009154465805,963167 W3,harm,bypass,seq_itt_m2,0.0208343932049153,0.000151330386953687,963167 W3,harm,rr,seq_itt_m2,0.131210890738575,0.000344386372462163,963167 W3,harm,death,seq_itt_m2,0.0292939853628715,0.000174358131223616,963167 -W3,harm,nco1,seq_itt_m2,-0.000966602884027573,3.46234682768683e-05,963167 +W3,harm,nco1,seq_itt_m2,-0.00123862217040194,3.87018205849823e-05,963167 W3,harm,nco2,seq_itt_m2,-0.000493164736748476,2.43215992787673e-05,963167 +W3,harm,limb,seq_itt_m3,0.0669980726495212,0.000264711064206323,949490 W3,harm,male,seq_itt_m3,0.151668790613908,0.00037328458789304,949490 W3,harm,disease,seq_itt_m3,0.0549452864169237,0.000240810580468974,949490 W3,harm,clti,seq_itt_m3,0.0542164741071457,0.000238764885219039,949490 @@ -1687,8 +1867,9 @@ 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W3,benefit_harm,disease,seq_itt,0.0387983917284913,0.000103243916777297,5740573 W3,benefit_harm,clti,seq_itt,0.0390356502739366,0.000101902053235626,5740573 @@ -1773,8 +1962,9 @@ W3,benefit_harm,amp,seq_itt,0.00548795390285957,4.94021817005946e-05,5740573 W3,benefit_harm,bypass,seq_itt,0.0133300282045009,6.44698393820544e-05,5740573 W3,benefit_harm,rr,seq_itt,0.116653163368884,0.000134799335968249,5740573 W3,benefit_harm,death,seq_itt,0.0125912517792217,7.49735365908106e-05,5740573 -W3,benefit_harm,nco1,seq_itt,0.000956873120505552,1.83758799440236e-05,5740573 +W3,benefit_harm,nco1,seq_itt,0.000981609327152663,1.97540176123175e-05,5740573 W3,benefit_harm,nco2,seq_itt,0.000460407001182632,1.26168194487975e-05,5740573 +W3,benefit_harm,limb,seq_itt_m0,0.0560427380338875,0.0002880974344761,991529 W3,benefit_harm,male,seq_itt_m0,0.136767557983679,0.000381203022162215,991529 W3,benefit_harm,disease,seq_itt_m0,0.0471594880230408,0.000261247562504283,991529 W3,benefit_harm,clti,seq_itt_m0,0.0473874188248659,0.000258253124292455,991529 @@ -1782,8 +1972,9 @@ W3,benefit_harm,amp,seq_itt_m0,0.00746322094462169,0.000126155787094559,991529 W3,benefit_harm,bypass,seq_itt_m0,0.0163908468637819,0.000163693898308785,991529 W3,benefit_harm,rr,seq_itt_m0,0.120963683361756,0.000329592906375479,991529 W3,benefit_harm,death,seq_itt_m0,0.0165300258489677,0.000187749248082227,991529 -W3,benefit_harm,nco1,seq_itt_m0,0.000869364385711555,4.61649942495592e-05,991529 +W3,benefit_harm,nco1,seq_itt_m0,0.000822971390650072,4.94220301992914e-05,991529 W3,benefit_harm,nco2,seq_itt_m0,0.00040745152184168,3.1375853412519e-05,991529 +W3,benefit_harm,limb,seq_itt_m1,0.0517972240814316,0.000284676727542001,977118 W3,benefit_harm,male,seq_itt_m1,0.132338161818742,0.000380584169934392,977118 W3,benefit_harm,disease,seq_itt_m1,0.0435720148436555,0.000257633092253222,977118 W3,benefit_harm,clti,seq_itt_m1,0.0438155882912793,0.00025451063708943,977118 @@ -1791,8 +1982,9 @@ 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W3,benefit_harm,rr,seq_itt_m3,0.115704220160297,0.000330262216700978,949490 W3,benefit_harm,death,seq_itt_m3,0.0116494117894866,0.000182474324797638,949490 -W3,benefit_harm,nco1,seq_itt_m3,0.000977366796911858,4.45975746977401e-05,949490 +W3,benefit_harm,nco1,seq_itt_m3,0.00102054787306903,4.80794893436176e-05,949490 W3,benefit_harm,nco2,seq_itt_m3,0.000471832246785253,3.05933239391402e-05,949490 +W3,benefit_harm,limb,seq_itt_m4,0.0399334780268144,0.000274003506261887,936232 W3,benefit_harm,male,seq_itt_m4,0.119775867520014,0.000378118510287462,936232 W3,benefit_harm,disease,seq_itt_m4,0.0335077203086381,0.000246869819143138,936232 W3,benefit_harm,clti,seq_itt_m4,0.033750181578925,0.000243439459181899,936232 @@ -1818,8 +2012,9 @@ W3,benefit_harm,amp,seq_itt_m4,0.00427137718001524,0.000117190512895032,936232 W3,benefit_harm,bypass,seq_itt_m4,0.0114074289278734,0.000153808738138859,936232 W3,benefit_harm,rr,seq_itt_m4,0.114018747489938,0.000330467548341315,936232 W3,benefit_harm,death,seq_itt_m4,0.0101716241273538,0.000180767124355838,936232 -W3,benefit_harm,nco1,seq_itt_m4,0.00102111442462933,4.43366005318042e-05,936232 +W3,benefit_harm,nco1,seq_itt_m4,0.00108626921532303,4.77183726856042e-05,936232 W3,benefit_harm,nco2,seq_itt_m4,0.000484922540566579,3.05072623317283e-05,936232 +W3,benefit_harm,limb,seq_itt_m5,0.036363656061458,0.000270733482915891,923037 W3,benefit_harm,male,seq_itt_m5,0.115674669596125,0.00037720509607347,923037 W3,benefit_harm,disease,seq_itt_m5,0.0304603174087295,0.000243444068240033,923037 W3,benefit_harm,clti,seq_itt_m5,0.0307214120344029,0.000239879765467455,923037 @@ -1827,8 +2022,14 @@ W3,benefit_harm,amp,seq_itt_m5,0.00357948814619625,0.000115084278730468,923037 W3,benefit_harm,bypass,seq_itt_m5,0.0103148627844814,0.000151506036064552,923037 W3,benefit_harm,rr,seq_itt_m5,0.112166684542439,0.000330434572489589,923037 W3,benefit_harm,death,seq_itt_m5,0.0087526285511857,0.000178899883357901,923037 -W3,benefit_harm,nco1,seq_itt_m5,0.00103787822156619,4.36725520586463e-05,923037 +W3,benefit_harm,nco1,seq_itt_m5,0.00112238187634932,4.71592704248517e-05,923037 W3,benefit_harm,nco2,seq_itt_m5,0.000508105308887745,3.05805540486242e-05,923037 +W4,null,limb,risk_natural,0.139980999999997,0.000346967491306372,1000000 +W4,null,limb,risk_A,0.139980999999997,0.000346967491306372,1000000 +W4,null,limb,risk_B1,0.139980999999997,0.000346967491306372,1000000 +W4,null,limb,risk_B2,0.139980999999997,0.000346967491306372,1000000 +W4,null,limb,rd_A_B1,0,0,1000000 +W4,null,limb,rd_A_B2,0,0,1000000 W4,null,male,risk_natural,0.159731000000003,0.000366356577466044,1000000 W4,null,male,risk_A,0.284055000000002,0.000450963369181687,1000000 W4,null,male,risk_B1,0.155533000000002,0.000362412220064984,1000000 @@ -1871,10 +2072,10 @@ W4,null,death,risk_B1,0.348290000000001,0.000476428696539243,1000000 W4,null,death,risk_B2,0.348290000000001,0.000476428696539243,1000000 W4,null,death,rd_A_B1,0,0,1000000 W4,null,death,rd_A_B2,0,0,1000000 -W4,null,nco1,risk_natural,0.0923330000000029,0.000289495597406038,1000000 -W4,null,nco1,risk_A,0.0923330000000029,0.000289495597406038,1000000 -W4,null,nco1,risk_B1,0.0923330000000029,0.000289495597406038,1000000 -W4,null,nco1,risk_B2,0.0923330000000029,0.000289495597406038,1000000 +W4,null,nco1,risk_natural,0.0922289999999975,0.000289349088960118,1000000 +W4,null,nco1,risk_A,0.0922289999999975,0.000289349088960118,1000000 +W4,null,nco1,risk_B1,0.0922289999999975,0.000289349088960118,1000000 +W4,null,nco1,risk_B2,0.0922289999999975,0.000289349088960118,1000000 W4,null,nco1,rd_A_B1,0,0,1000000 W4,null,nco1,rd_A_B2,0,0,1000000 W4,null,nco2,risk_natural,0.0592140000000011,0.000236024909517214,1000000 @@ -1888,6 +2089,7 @@ W4,null,n_proc,mean_A,1.204785,0.000574698559290647,1000000 W4,null,n_proc,mean_B1,0.243039,0.00051190556407355,1000000 W4,null,n_proc,mean_B2,0.062051,0.000271257713218526,1000000 W4,null,n_proc,diff_A_B1,0.961746,0.000609730270902737,1000000 +W4,null,limb,seq_itt,0,0,5748096 W4,null,male,seq_itt,0.137135148751865,0.000143476620446745,5748096 W4,null,disease,seq_itt,0,0,5748096 W4,null,clti,seq_itt,0,0,5748096 @@ -1897,6 +2099,7 @@ W4,null,rr,seq_itt,0.171827679983076,0.000157339736685133,5748096 W4,null,death,seq_itt,0,0,5748096 W4,null,nco1,seq_itt,0,0,5748096 W4,null,nco2,seq_itt,0,0,5748096 +W4,null,limb,seq_itt_m0,0,0,991577 W4,null,male,seq_itt_m0,0.13887171646781,0.000347278442675467,991577 W4,null,disease,seq_itt_m0,0,0,991577 W4,null,clti,seq_itt_m0,0,0,991577 @@ -1906,6 +2109,7 @@ W4,null,rr,seq_itt_m0,0.174737816629471,0.00038135234509668,991577 W4,null,death,seq_itt_m0,0,0,991577 W4,null,nco1,seq_itt_m0,0,0,991577 W4,null,nco2,seq_itt_m0,0,0,991577 +W4,null,limb,seq_itt_m1,0,0,978171 W4,null,male,seq_itt_m1,0.138225320521668,0.000348966307487892,978171 W4,null,disease,seq_itt_m1,0,0,978171 W4,null,clti,seq_itt_m1,0,0,978171 @@ -1915,6 +2119,7 @@ W4,null,rr,seq_itt_m1,0.173658797899343,0.000383019539215264,978171 W4,null,death,seq_itt_m1,0,0,978171 W4,null,nco1,seq_itt_m1,0,0,978171 W4,null,nco2,seq_itt_m1,0,0,978171 +W4,null,limb,seq_itt_m2,0,0,964792 W4,null,male,seq_itt_m2,0.137471081849768,0.00035057091792235,964792 W4,null,disease,seq_itt_m2,0,0,964792 W4,null,clti,seq_itt_m2,0,0,964792 @@ -1924,6 +2129,7 @@ W4,null,rr,seq_itt_m2,0.172415401454409,0.000384571952308553,964792 W4,null,death,seq_itt_m2,0,0,964792 W4,null,nco1,seq_itt_m2,0,0,964792 W4,null,nco2,seq_itt_m2,0,0,964792 +W4,null,limb,seq_itt_m3,0,0,951228 W4,null,male,seq_itt_m3,0.136834702090351,0.000352373327048275,951228 W4,null,disease,seq_itt_m3,0,0,951228 W4,null,clti,seq_itt_m3,0,0,951228 @@ -1933,6 +2139,7 @@ W4,null,rr,seq_itt_m3,0.171308035507783,0.000386316579185495,951228 W4,null,death,seq_itt_m3,0,0,951228 W4,null,nco1,seq_itt_m3,0,0,951228 W4,null,nco2,seq_itt_m3,0,0,951228 +W4,null,limb,seq_itt_m4,0,0,937852 W4,null,male,seq_itt_m4,0.136033190737985,0.000354000641327325,937852 W4,null,disease,seq_itt_m4,0,0,937852 W4,null,clti,seq_itt_m4,0,0,937852 @@ -1942,6 +2149,7 @@ W4,null,rr,seq_itt_m4,0.169979911542545,0.00038786105843139,937852 W4,null,death,seq_itt_m4,0,0,937852 W4,null,nco1,seq_itt_m4,0,0,937852 W4,null,nco2,seq_itt_m4,0,0,937852 +W4,null,limb,seq_itt_m5,0,0,924476 W4,null,male,seq_itt_m5,0.135195505345728,0.000355625185392521,924476 W4,null,disease,seq_itt_m5,0,0,924476 W4,null,clti,seq_itt_m5,0,0,924476 @@ -1951,6 +2159,12 @@ W4,null,rr,seq_itt_m5,0.16856467880183,0.000389358749309608,924476 W4,null,death,seq_itt_m5,0,0,924476 W4,null,nco1,seq_itt_m5,0,0,924476 W4,null,nco2,seq_itt_m5,0,0,924476 +W4,harm,limb,risk_natural,0.146935999999999,0.000354042281728627,1000000 +W4,harm,limb,risk_A,0.202503999999998,0.000401866011854224,1000000 +W4,harm,limb,risk_B1,0.144235999999997,0.00035132904766614,1000000 +W4,harm,limb,risk_B2,0.139980999999997,0.000346967491306372,1000000 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+W4,harm,limb,seq_itt,0.0657661249916491,0.000106795516486124,5748096 W4,harm,male,seq_itt,0.20533233961298,0.000170383786742004,5748096 W4,harm,disease,seq_itt,0.0542226504219845,9.73823075883023e-05,5748096 W4,harm,clti,seq_itt,0.0535768713674912,9.66165658311299e-05,5748096 @@ -2017,8 +2232,9 @@ W4,harm,amp,seq_itt,0.0117538050860665,4.77439118086758e-05,5748096 W4,harm,bypass,seq_itt,0.0194868004988085,6.00995843756389e-05,5748096 W4,harm,rr,seq_itt,0.200513700536663,0.000167431168448942,5748096 W4,harm,death,seq_itt,0.0279457754359005,6.97604857019529e-05,5748096 -W4,harm,nco1,seq_itt,-0.00096727681653181,1.38747377358989e-05,5748096 +W4,harm,nco1,seq_itt,-0.00121535896408143,1.54760076105302e-05,5748096 W4,harm,nco2,seq_itt,-0.000500687532010628,9.86974809631225e-06,5748096 +W4,harm,limb,seq_itt_m0,0.0709939823130225,0.000266327310717011,991577 W4,harm,male,seq_itt_m0,0.211542825216804,0.000414923798778417,991577 W4,harm,disease,seq_itt_m0,0.0587478329973351,0.000243385531485543,991577 W4,harm,clti,seq_itt_m0,0.05811651540929,0.000241605444520219,991577 @@ -2026,8 +2242,9 @@ W4,harm,amp,seq_itt_m0,0.0130489109771599,0.00012097805220254,991577 W4,harm,bypass,seq_itt_m0,0.0212388952143901,0.00015090641292216,991577 W4,harm,rr,seq_itt_m0,0.205624979199802,0.000407051775841534,991577 W4,harm,death,seq_itt_m0,0.0303103036879623,0.000174291825610933,991577 -W4,harm,nco1,seq_itt_m0,-0.00107808067351299,3.54245647340704e-05,991577 +W4,harm,nco1,seq_itt_m0,-0.00137054409289556,3.95136733130714e-05,991577 W4,harm,nco2,seq_itt_m0,-0.000570807915068919,2.534669155304e-05,991577 +W4,harm,limb,seq_itt_m1,0.0688018761545797,0.000264279502602912,978171 W4,harm,male,seq_itt_m1,0.209100453806137,0.000415889964787855,978171 W4,harm,disease,seq_itt_m1,0.0568632682833569,0.000241321201792698,978171 W4,harm,clti,seq_itt_m1,0.0562314769094537,0.000239499457331431,978171 @@ -2035,8 +2252,9 @@ 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W4,harm,rr,seq_itt_m2,0.20147244172837,0.000409451603352807,964792 W4,harm,death,seq_itt_m2,0.0283677725354252,0.00017149691259196,964792 -W4,harm,nco1,seq_itt_m2,-0.000990887154951764,3.41107547158159e-05,964792 +W4,harm,nco1,seq_itt_m2,-0.00124068192936916,3.81327435300786e-05,964792 W4,harm,nco2,seq_itt_m2,-0.000509954477234591,2.44346383966524e-05,964792 +W4,harm,limb,seq_itt_m3,0.0645565521620432,0.000260354581760548,951228 W4,harm,male,seq_itt_m3,0.203965821022934,0.000417805340718129,951228 W4,harm,disease,seq_itt_m3,0.0531828331377898,0.000237258494250978,951228 W4,harm,clti,seq_itt_m3,0.0525415568086696,0.000235346772313543,951228 @@ -2053,8 +2272,9 @@ W4,harm,amp,seq_itt_m3,0.0114788462913204,0.000115896197817193,951228 W4,harm,bypass,seq_itt_m3,0.0190858553364701,0.000146246034619459,951228 W4,harm,rr,seq_itt_m3,0.199490553263779,0.000410774130027574,951228 W4,harm,death,seq_itt_m3,0.0274455756138381,0.000170074039688377,951228 -W4,harm,nco1,seq_itt_m3,-0.000942991585613366,3.35445807085919e-05,951228 +W4,harm,nco1,seq_itt_m3,-0.00117847666384878,3.74890417966679e-05,951228 W4,harm,nco2,seq_itt_m3,-0.000490944337214675,2.39443655737371e-05,951228 +W4,harm,limb,seq_itt_m4,0.0625119954960882,0.000258393471659772,937852 W4,harm,male,seq_itt_m4,0.201386785974757,0.000418746881508019,937852 W4,harm,disease,seq_itt_m4,0.0514057655152497,0.000235277235138057,937852 W4,harm,clti,seq_itt_m4,0.0507521442615702,0.000233345143866496,937852 @@ -2062,8 +2282,9 @@ W4,harm,amp,seq_itt_m4,0.0109377599024146,0.000114154318160939,937852 W4,harm,bypass,seq_itt_m4,0.0184101542674103,0.000144706717740578,937852 W4,harm,rr,seq_itt_m4,0.1972198171993,0.000411861552763196,937852 W4,harm,death,seq_itt_m4,0.0264807240374807,0.000168467979079315,937852 -W4,harm,nco1,seq_itt_m4,-0.000889266110217617,3.29208645708948e-05,937852 +W4,harm,nco1,seq_itt_m4,-0.00111638083620887,3.67178589953554e-05,937852 W4,harm,nco2,seq_itt_m4,-0.000463825848854802,2.32338120021567e-05,937852 +W4,harm,limb,seq_itt_m5,0.060551058112922,0.000256396887680085,924476 W4,harm,male,seq_itt_m5,0.198931070141362,0.00041974508641787,924476 W4,harm,disease,seq_itt_m5,0.049715730857268,0.000233245063840144,924476 W4,harm,clti,seq_itt_m5,0.0490461623665685,0.000231306004573476,924476 @@ -2071,8 +2292,14 @@ W4,harm,amp,seq_itt_m5,0.0104437540833943,0.000112434659496804,924476 W4,harm,bypass,seq_itt_m5,0.0177700665025383,0.000143209452616956,924476 W4,harm,rr,seq_itt_m5,0.195104037314107,0.000413114213660561,924476 W4,harm,death,seq_itt_m5,0.0255344649293221,0.000166992158005505,924476 -W4,harm,nco1,seq_itt_m5,-0.000853456444514996,3.26364727822707e-05,924476 +W4,harm,nco1,seq_itt_m5,-0.00105789658141479,3.6248311144859e-05,924476 W4,harm,nco2,seq_itt_m5,-0.000424023987642789,2.28397360495096e-05,924476 +W4,benefit_harm,limb,risk_natural,0.139034999999997,0.000345983219940784,1000000 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W4,benefit_harm,nco2,risk_natural,0.059301999999999,0.000236189179647185,1000000 W4,benefit_harm,nco2,risk_A,0.059738,0.000237000901949093,1000000 W4,benefit_harm,nco2,risk_B1,0.0592870000000009,0.000236161189449733,1000000 @@ -2132,6 +2359,7 @@ W4,benefit_harm,n_proc,mean_A,1.22228,0.000593186272149764,1000000 W4,benefit_harm,n_proc,mean_B1,0.239239,0.000500973005109905,1000000 W4,benefit_harm,n_proc,mean_B2,0.061834,0.000269786265825377,1000000 W4,benefit_harm,n_proc,diff_A_B1,0.983041,0.000637963791536949,1000000 +W4,benefit_harm,limb,seq_itt,0.0501571302914906,0.00011682492467226,5748096 W4,benefit_harm,male,seq_itt,0.183404035005679,0.000174386513801852,5748096 W4,benefit_harm,disease,seq_itt,0.0421903183245385,0.000105792395505474,5748096 W4,benefit_harm,clti,seq_itt,0.0423455001447433,0.000104451473827004,5748096 @@ -2139,8 +2367,9 @@ W4,benefit_harm,amp,seq_itt,0.00612863807424249,5.03625781700346e-05,5748096 W4,benefit_harm,bypass,seq_itt,0.0140676147371239,6.51946526433946e-05,5748096 W4,benefit_harm,rr,seq_itt,0.183981791535841,0.00016257646989477,5748096 W4,benefit_harm,death,seq_itt,0.0140483039949225,7.62016292780431e-05,5748096 -W4,benefit_harm,nco1,seq_itt,0.000838016623243471,1.84465940488308e-05,5748096 +W4,benefit_harm,nco1,seq_itt,0.000824446912508023,2.00172423615047e-05,5748096 W4,benefit_harm,nco2,seq_itt,0.000415093971986565,1.28773611509914e-05,5748096 +W4,benefit_harm,limb,seq_itt_m0,0.0601476234321705,0.00029462512239213,991577 W4,benefit_harm,male,seq_itt_m0,0.194600116783669,0.000426771905511201,991577 W4,benefit_harm,disease,seq_itt_m0,0.0507292928335397,0.000267835127780815,991577 W4,benefit_harm,clti,seq_itt_m0,0.0508694735759281,0.000264812238702761,991577 @@ -2148,8 +2377,9 @@ W4,benefit_harm,amp,seq_itt_m0,0.00815166144434639,0.000128973507456255,991577 W4,benefit_harm,bypass,seq_itt_m0,0.0171252459466104,0.000165737797938996,991577 W4,benefit_harm,rr,seq_itt_m0,0.19079103286986,0.000397051803848591,991577 W4,benefit_harm,death,seq_itt_m0,0.0179693558846155,0.000190911662627623,991577 -W4,benefit_harm,nco1,seq_itt_m0,0.000745277472147731,4.64833001461909e-05,991577 +W4,benefit_harm,nco1,seq_itt_m0,0.000658546940882903,5.01676367802316e-05,991577 W4,benefit_harm,nco2,seq_itt_m0,0.000358015565104717,3.20643213442554e-05,991577 +W4,benefit_harm,limb,seq_itt_m1,0.0558869563706144,0.000291031536738937,978171 W4,benefit_harm,male,seq_itt_m1,0.189947360942002,0.000426891076442033,978171 W4,benefit_harm,disease,seq_itt_m1,0.0470950375752302,0.000264081378126789,978171 W4,benefit_harm,clti,seq_itt_m1,0.0472534965767747,0.000260956914047632,978171 @@ -2157,8 +2387,9 @@ W4,benefit_harm,amp,seq_itt_m1,0.00720732877993781,0.000126508076002675,978171 W4,benefit_harm,bypass,seq_itt_m1,0.015796828979799,0.000163250582881009,978171 W4,benefit_harm,rr,seq_itt_m1,0.188073455459218,0.00039754121568746,978171 W4,benefit_harm,death,seq_itt_m1,0.0162854960942413,0.000189259979167962,978171 -W4,benefit_harm,nco1,seq_itt_m1,0.000792295007723501,4.5837947351513e-05,978171 +W4,benefit_harm,nco1,seq_itt_m1,0.000744246149190689,4.95950899718684e-05,978171 W4,benefit_harm,nco2,seq_itt_m1,0.000378256971429288,3.17718526203625e-05,978171 +W4,benefit_harm,limb,seq_itt_m2,0.0518567732734088,0.000287466825119437,964792 W4,benefit_harm,male,seq_itt_m2,0.185391255317212,0.000426929820929194,964792 W4,benefit_harm,disease,seq_itt_m2,0.0436197646746671,0.000260488553145669,964792 W4,benefit_harm,clti,seq_itt_m2,0.0437742021078115,0.000257197188616458,964792 @@ -2166,8 +2397,9 @@ W4,benefit_harm,amp,seq_itt_m2,0.00643454755014605,0.000124241164159865,964792 W4,benefit_harm,bypass,seq_itt_m2,0.0145886367216976,0.000160571742639269,964792 W4,benefit_harm,rr,seq_itt_m2,0.185152861964028,0.000397885769013823,964792 W4,benefit_harm,death,seq_itt_m2,0.0146788115987687,0.000187528317717265,964792 -W4,benefit_harm,nco1,seq_itt_m2,0.000820902329206883,4.533814261099e-05,964792 +W4,benefit_harm,nco1,seq_itt_m2,0.000800172472408637,4.93329719944196e-05,964792 W4,benefit_harm,nco2,seq_itt_m2,0.00040734168608332,3.16570244536182e-05,964792 +W4,benefit_harm,limb,seq_itt_m3,0.0479821872358638,0.000284127855431302,951228 W4,benefit_harm,male,seq_itt_m3,0.181063845891836,0.000427316160591442,951228 W4,benefit_harm,disease,seq_itt_m3,0.0403110505578039,0.000257098689910758,951228 W4,benefit_harm,clti,seq_itt_m3,0.0404582287317021,0.000253703323008942,951228 @@ -2175,8 +2407,9 @@ W4,benefit_harm,amp,seq_itt_m3,0.00568633387578932,0.000121994097970771,951228 W4,benefit_harm,bypass,seq_itt_m3,0.0133974189153409,0.000158073405030201,951228 W4,benefit_harm,rr,seq_itt_m3,0.18259449890037,0.000398506527875271,951228 W4,benefit_harm,death,seq_itt_m3,0.0130725756600945,0.000185586031042448,951228 -W4,benefit_harm,nco1,seq_itt_m3,0.000852582135933448,4.48033426945997e-05,951228 +W4,benefit_harm,nco1,seq_itt_m3,0.000855735953945883,4.87829679194418e-05,951228 W4,benefit_harm,nco2,seq_itt_m3,0.000428919249644001,3.1147240451595e-05,951228 +W4,benefit_harm,limb,seq_itt_m4,0.0439781543356518,0.000280436545155373,937852 W4,benefit_harm,male,seq_itt_m4,0.176428690241108,0.000427185165221989,937852 W4,benefit_harm,disease,seq_itt_m4,0.0369503930257676,0.000253322037098467,937852 W4,benefit_harm,clti,seq_itt_m4,0.0370975377778173,0.000249882784450414,937852 @@ -2184,8 +2417,9 @@ W4,benefit_harm,amp,seq_itt_m4,0.00491228893258194,0.000119518811378562,937852 W4,benefit_harm,bypass,seq_itt_m4,0.012125580582012,0.000155507295752483,937852 W4,benefit_harm,rr,seq_itt_m4,0.179682935047324,0.000398776047726477,937852 W4,benefit_harm,death,seq_itt_m4,0.0117033391196045,0.00018359476130152,937852 -W4,benefit_harm,nco1,seq_itt_m4,0.000902061306047854,4.43653760697031e-05,937852 +W4,benefit_harm,nco1,seq_itt_m4,0.000930850496666828,4.82559382661149e-05,937852 W4,benefit_harm,nco2,seq_itt_m4,0.000446765587747455,3.11746389445819e-05,937852 +W4,benefit_harm,limb,seq_itt_m5,0.0401113711983865,0.000276648696005563,924476 W4,benefit_harm,male,seq_itt_m5,0.171882233827593,0.000427164871354867,924476 W4,benefit_harm,disease,seq_itt_m5,0.0335995742453033,0.000249302595656872,924476 W4,benefit_harm,clti,seq_itt_m5,0.0337845438929722,0.000245794221594037,924476 @@ -2193,8 +2427,14 @@ W4,benefit_harm,amp,seq_itt_m5,0.00418723687797205,0.000117186958646256,924476 W4,benefit_harm,bypass,seq_itt_m5,0.0110743815956272,0.00015315288353922,924476 W4,benefit_harm,rr,seq_itt_m5,0.176915355293165,0.000399133205502227,924476 W4,benefit_harm,death,seq_itt_m5,0.0102003729680374,0.000181653215024344,924476 -W4,benefit_harm,nco1,seq_itt_m5,0.000923766544507488,4.39014863673309e-05,924476 +W4,benefit_harm,nco1,seq_itt_m5,0.000972442767578367,4.76943322481284e-05,924476 W4,benefit_harm,nco2,seq_itt_m5,0.000477026986098178,3.12905169992594e-05,924476 +W5,null,limb,risk_natural,0.139885000000001,0.000346867852493526,1000000 +W5,null,limb,risk_A,0.139885000000001,0.000346867852493526,1000000 +W5,null,limb,risk_B1,0.139885000000001,0.000346867852493526,1000000 +W5,null,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W5,null,limb,rd_A_B1,0,0,1000000 +W5,null,limb,rd_A_B2,0,0,1000000 W5,null,male,risk_natural,0.147472000000004,0.000354575993181661,1000000 W5,null,male,risk_A,0.284543999999999,0.000451197202607256,1000000 W5,null,male,risk_B1,0.142262999999996,0.000349319854652545,1000000 @@ -2237,10 +2477,10 @@ W5,null,death,risk_B1,0.349227999999998,0.000476726369402858,1000000 W5,null,death,risk_B2,0.349227999999998,0.000476726369402858,1000000 W5,null,death,rd_A_B1,0,0,1000000 W5,null,death,rd_A_B2,0,0,1000000 -W5,null,nco1,risk_natural,0.0922450000000009,0.000289371635982334,1000000 -W5,null,nco1,risk_A,0.0922450000000009,0.000289371635982334,1000000 -W5,null,nco1,risk_B1,0.0922450000000009,0.000289371635982334,1000000 -W5,null,nco1,risk_B2,0.0922450000000009,0.000289371635982334,1000000 +W5,null,nco1,risk_natural,0.092130000000002,0.000289209520489714,1000000 +W5,null,nco1,risk_A,0.092130000000002,0.000289209520489714,1000000 +W5,null,nco1,risk_B1,0.092130000000002,0.000289209520489714,1000000 +W5,null,nco1,risk_B2,0.092130000000002,0.000289209520489714,1000000 W5,null,nco1,rd_A_B1,0,0,1000000 W5,null,nco1,rd_A_B2,0,0,1000000 W5,null,nco2,risk_natural,0.0591669999999991,0.000235937114030082,1000000 @@ -2254,6 +2494,7 @@ W5,null,n_proc,mean_A,1.205438,0.000575753037023819,1000000 W5,null,n_proc,mean_B1,0.08892,0.000323334715343537,1000000 W5,null,n_proc,mean_B2,0.061997,0.000271196322870713,1000000 W5,null,n_proc,diff_A_B1,1.116518,0.000536385909010824,1000000 +W5,null,limb,seq_itt,0,0,5747681 W5,null,male,seq_itt,0.15064753941633,0.000149202953196723,5747681 W5,null,disease,seq_itt,0,0,5747681 W5,null,clti,seq_itt,0,0,5747681 @@ -2263,6 +2504,7 @@ W5,null,rr,seq_itt,0.189368721054631,0.000163423944181573,5747681 W5,null,death,seq_itt,0,0,5747681 W5,null,nco1,seq_itt,0,0,5747681 W5,null,nco2,seq_itt,0,0,5747681 +W5,null,limb,seq_itt_m0,0,0,991543 W5,null,male,seq_itt_m0,0.151920794156178,0.000360471771592511,991543 W5,null,disease,seq_itt_m0,0,0,991543 W5,null,clti,seq_itt_m0,0,0,991543 @@ -2272,6 +2514,7 @@ W5,null,rr,seq_itt_m0,0.191681046611189,0.000395298721460227,991543 W5,null,death,seq_itt_m0,0,0,991543 W5,null,nco1,seq_itt_m0,0,0,991543 W5,null,nco2,seq_itt_m0,0,0,991543 +W5,null,limb,seq_itt_m1,0,0,978125 W5,null,male,seq_itt_m1,0.15146428115016,0.00036248765499386,978125 W5,null,disease,seq_itt_m1,0,0,978125 W5,null,clti,seq_itt_m1,0,0,978125 @@ -2281,6 +2524,7 @@ W5,null,rr,seq_itt_m1,0.1908385942492,0.000397332167964692,978125 W5,null,death,seq_itt_m1,0,0,978125 W5,null,nco1,seq_itt_m1,0,0,978125 W5,null,nco2,seq_itt_m1,0,0,978125 +W5,null,limb,seq_itt_m2,0,0,964733 W5,null,male,seq_itt_m2,0.15090600197153,0.000364441478640957,964733 W5,null,disease,seq_itt_m2,0,0,964733 W5,null,clti,seq_itt_m2,0,0,964733 @@ -2290,6 +2534,7 @@ W5,null,rr,seq_itt_m2,0.189842163583087,0.00039928023626947,964733 W5,null,death,seq_itt_m2,0,0,964733 W5,null,nco1,seq_itt_m2,0,0,964733 W5,null,nco2,seq_itt_m2,0,0,964733 +W5,null,limb,seq_itt_m3,0,0,951156 W5,null,male,seq_itt_m3,0.150448506869534,0.000366575256481119,951156 W5,null,disease,seq_itt_m3,0,0,951156 W5,null,clti,seq_itt_m3,0,0,951156 @@ -2299,6 +2544,7 @@ W5,null,rr,seq_itt_m3,0.188993183032018,0.000401429860485568,951156 W5,null,death,seq_itt_m3,0,0,951156 W5,null,nco1,seq_itt_m3,0,0,951156 W5,null,nco2,seq_itt_m3,0,0,951156 +W5,null,limb,seq_itt_m4,0,0,937756 W5,null,male,seq_itt_m4,0.149847081756872,0.000368576783339415,937756 W5,null,disease,seq_itt_m4,0,0,937756 W5,null,clti,seq_itt_m4,0,0,937756 @@ -2308,6 +2554,7 @@ W5,null,rr,seq_itt_m4,0.187902823335707,0.000403390771891068,937756 W5,null,death,seq_itt_m4,0,0,937756 W5,null,nco1,seq_itt_m4,0,0,937756 W5,null,nco2,seq_itt_m4,0,0,937756 +W5,null,limb,seq_itt_m5,0,0,924368 W5,null,male,seq_itt_m5,0.149164618420368,0.000370538607554442,924368 W5,null,disease,seq_itt_m5,0,0,924368 W5,null,clti,seq_itt_m5,0,0,924368 @@ -2317,6 +2564,12 @@ W5,null,rr,seq_itt_m5,0.186712434874424,0.000405309208574706,924368 W5,null,death,seq_itt_m5,0,0,924368 W5,null,nco1,seq_itt_m5,0,0,924368 W5,null,nco2,seq_itt_m5,0,0,924368 +W5,harm,limb,risk_natural,0.143526999999997,0.000350609645042452,1000000 +W5,harm,limb,risk_A,0.202289999999998,0.0004017075021323,1000000 +W5,harm,limb,risk_B1,0.140447000000003,0.000347450371873819,1000000 +W5,harm,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 +W5,harm,limb,rd_A_B1,0.0618429999999967,0.000248593051287881,1000000 +W5,harm,limb,rd_A_B2,0.0624049999999958,0.000249605044577613,1000000 W5,harm,male,risk_natural,0.150909999999998,0.000357961310807667,1000000 W5,harm,male,risk_A,0.349662999999999,0.000476863726686614,1000000 W5,harm,male,risk_B1,0.142900000000002,0.000349971016629498,1000000 @@ -2359,12 +2612,12 @@ W5,harm,death,risk_B1,0.349503,0.000476813255208179,1000000 W5,harm,death,risk_B2,0.349307999999998,0.000476751663265722,1000000 W5,harm,death,rd_A_B1,0.0256290000000004,0.000160723925385253,1000000 W5,harm,death,rd_A_B2,0.0258239999999999,0.000161298316918771,1000000 -W5,harm,nco1,risk_natural,0.0922189999999999,0.00028933499572968,1000000 -W5,harm,nco1,risk_A,0.091428,0.000288216938929771,1000000 -W5,harm,nco1,risk_B1,0.092245000000001,0.000289371635982334,1000000 -W5,harm,nco1,risk_B2,0.0922440000000035,0.000289370226870602,1000000 -W5,harm,nco1,rd_A_B1,-0.00081699999999952,3.07625333371906e-05,1000000 -W5,harm,nco1,rd_A_B2,-0.000815999999999752,3.07463020431003e-05,1000000 +W5,harm,nco1,risk_natural,0.0920840000000002,0.000289144636033733,1000000 +W5,harm,nco1,risk_A,0.0910909999999969,0.000287738618390916,1000000 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W5,harm,clti,seq_itt,0.0564798220360513,9.89156168624182e-05,5747681 @@ -2383,8 +2637,9 @@ W5,harm,amp,seq_itt,0.0123260146135459,4.87793996999204e-05,5747681 W5,harm,bypass,seq_itt,0.0204903508040894,6.14437391092352e-05,5747681 W5,harm,rr,seq_itt,0.219288787947695,0.000172691444547682,5747681 W5,harm,death,seq_itt,0.0290759003500711,7.11286640448018e-05,5747681 -W5,harm,nco1,seq_itt,-0.000971522253931578,1.39951583706558e-05,5747681 +W5,harm,nco1,seq_itt,-0.00123458486996722,1.56634998868528e-05,5747681 W5,harm,nco2,seq_itt,-0.000514816323313913,1.00179704841174e-05,5747681 +W5,harm,limb,seq_itt_m0,0.0742963240121705,0.000271582516628613,991543 W5,harm,male,seq_itt_m0,0.227871105942963,0.000425518113672491,991543 W5,harm,disease,seq_itt_m0,0.0615646522642006,0.000248429833727701,991543 W5,harm,clti,seq_itt_m0,0.0609191936204473,0.000246655582840681,991543 @@ -2392,8 +2647,9 @@ W5,harm,amp,seq_itt_m0,0.0136050579752967,0.000123224278367251,991543 W5,harm,bypass,seq_itt_m0,0.0222088199906597,0.000153872473229595,991543 W5,harm,rr,seq_itt_m0,0.223745213268611,0.000418852513876269,991543 W5,harm,death,seq_itt_m0,0.0313682815571266,0.000177315895128152,991543 -W5,harm,nco1,seq_itt_m0,-0.00109425410698243,3.56256972422409e-05,991543 +W5,harm,nco1,seq_itt_m0,-0.00139378725884767,3.98346711112445e-05,991543 W5,harm,nco2,seq_itt_m0,-0.000592006599814991,2.5804418625868e-05,991543 +W5,harm,limb,seq_itt_m1,0.0721523322683716,0.000269733690904772,978125 W5,harm,male,seq_itt_m1,0.225651118210863,0.000426820337233732,978125 W5,harm,disease,seq_itt_m1,0.059720383386585,0.000246573294490182,978125 W5,harm,clti,seq_itt_m1,0.0590660702875377,0.000244752318377406,978125 @@ -2401,8 +2657,9 @@ W5,harm,amp,seq_itt_m1,0.013041277955271,0.000121664176676405,978125 W5,harm,bypass,seq_itt_m1,0.0214400000000013,0.000152313070219869,978125 W5,harm,rr,seq_itt_m1,0.222003322683703,0.000420496075244824,978125 W5,harm,death,seq_itt_m1,0.0304132907348223,0.000175993090732983,978125 -W5,harm,nco1,seq_itt_m1,-0.00102543130990397,3.49997052281304e-05,978125 +W5,harm,nco1,seq_itt_m1,-0.00131476038338606,3.91221091988533e-05,978125 W5,harm,nco2,seq_itt_m1,-0.000544920127795857,2.52238237528897e-05,978125 +W5,harm,limb,seq_itt_m2,0.0700649817099632,0.000268021646530973,964733 W5,harm,male,seq_itt_m2,0.223281467514848,0.000428160194527511,964733 W5,harm,disease,seq_itt_m2,0.0578792266875928,0.000244702359334296,964733 W5,harm,clti,seq_itt_m2,0.0572085748077468,0.000242805764889618,964733 @@ -2410,8 +2667,9 @@ W5,harm,amp,seq_itt_m2,0.0125620249333237,0.000120145652453233,964733 W5,harm,bypass,seq_itt_m2,0.0207777696005019,0.000151054845114052,964733 W5,harm,rr,seq_itt_m2,0.220172835385543,0.000422156788439742,964733 W5,harm,death,seq_itt_m2,0.029455818345593,0.000174781895389261,964733 -W5,harm,nco1,seq_itt_m2,-0.000996130535599467,3.47214446532659e-05,964733 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W5,harm,disease,seq_itt_m5,0.0527268360652903,0.000239547342742173,924368 W5,harm,clti,seq_itt_m5,0.0520344711197287,0.000237622117501705,924368 @@ -2437,8 +2697,14 @@ W5,harm,amp,seq_itt_m5,0.0110399754210448,0.000115305743555693,924368 W5,harm,bypass,seq_itt_m5,0.0188225901372609,0.000146934628614565,924368 W5,harm,rr,seq_itt_m5,0.214493578315129,0.000427155059066705,924368 W5,harm,death,seq_itt_m5,0.0267317778200889,0.000170631155270996,924368 -W5,harm,nco1,seq_itt_m5,-0.000861128901044068,3.27653243434665e-05,924368 +W5,harm,nco1,seq_itt_m5,-0.00108290204766865,3.6621128812196e-05,924368 W5,harm,nco2,seq_itt_m5,-0.000445709933706078,2.31473346234054e-05,924368 +W5,benefit_harm,limb,risk_natural,0.141728,0.000348771122167454,1000000 +W5,benefit_harm,limb,risk_A,0.175633999999999,0.000380508663279897,1000000 +W5,benefit_harm,limb,risk_B1,0.139615000000001,0.00034658732218011,1000000 +W5,benefit_harm,limb,risk_B2,0.139885000000001,0.000346867852493526,1000000 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W5,benefit_harm,nco2,seq_itt_m0,0.000410471356259823,3.17459906342161e-05,991543 +W5,benefit_harm,limb,seq_itt_m1,0.0528848562300291,0.000287086813080443,978125 W5,benefit_harm,male,seq_itt_m1,0.198970479233224,0.00043338710988674,978125 W5,benefit_harm,disease,seq_itt_m1,0.0447754632587847,0.000260666950394167,978125 W5,benefit_harm,clti,seq_itt_m1,0.0450443450479219,0.000257689443474897,978125 @@ -2523,8 +2792,9 @@ W5,benefit_harm,amp,seq_itt_m1,0.0067220447284348,0.000125166852716516,978125 W5,benefit_harm,bypass,seq_itt_m1,0.0150471565495216,0.000161367039736746,978125 W5,benefit_harm,rr,seq_itt_m1,0.203306325878592,0.000408495433359343,978125 W5,benefit_harm,death,seq_itt_m1,0.0148968690095829,0.000186547075155821,978125 -W5,benefit_harm,nco1,seq_itt_m1,0.000904792332268552,4.57009533215401e-05,978125 +W5,benefit_harm,nco1,seq_itt_m1,0.000893546325878352,4.90225656098178e-05,978125 W5,benefit_harm,nco2,seq_itt_m1,0.000433482428115334,3.16407633593334e-05,978125 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WR,harm,nco2,seq_itt_m3,-0.000687741249203234,2.78760971751907e-05,949485 +WR,harm,limb,seq_itt_m4,0.0866404052013083,0.00029895337130628,936226 WR,harm,male,seq_itt_m4,0.15162364642725,0.000376712043145942,936226 WR,harm,disease,seq_itt_m4,0.0732664976191702,0.000276307180795378,936226 WR,harm,clti,seq_itt_m4,0.0727869125617015,0.000274946576771631,936226 @@ -2794,8 +3497,9 @@ WR,harm,amp,seq_itt_m4,0.0168623815189931,0.000139506258482799,936226 WR,harm,bypass,seq_itt_m4,0.0283264938166634,0.000177213682791678,936226 WR,harm,rr,seq_itt_m4,0.119149649764053,0.000335368426718081,936226 WR,harm,death,seq_itt_m4,0.03430795555774,0.000190957491582789,936226 -WR,harm,nco1,seq_itt_m4,-0.00108841241324185,3.69681883685578e-05,936226 +WR,harm,nco1,seq_itt_m4,-0.00135330571891837,4.10536458341313e-05,936226 WR,harm,nco2,seq_itt_m4,-0.000643007137166169,2.69710643346904e-05,936226 +WR,harm,limb,seq_itt_m5,0.0842702837394251,0.00029729725867861,923030 WR,harm,male,seq_itt_m5,0.149321257163907,0.000376937405456364,923030 WR,harm,disease,seq_itt_m5,0.0710973641160051,0.00027442744766534,923030 WR,harm,clti,seq_itt_m5,0.0705610868552585,0.000272945997156534,923030 @@ -2803,8 +3507,14 @@ WR,harm,amp,seq_itt_m5,0.0161067354257176,0.000137421994772595,923030 WR,harm,bypass,seq_itt_m5,0.0273338894727151,0.000175436662132863,923030 WR,harm,rr,seq_itt_m5,0.11776973662828,0.00033604421519556,923030 WR,harm,death,seq_itt_m5,0.0331181001700924,0.000189232466121995,923030 -WR,harm,nco1,seq_itt_m5,-0.00103896948094889,3.6418691488254e-05,923030 +WR,harm,nco1,seq_itt_m5,-0.00129573253307094,4.04272565829901e-05,923030 WR,harm,nco2,seq_itt_m5,-0.000593696846256706,2.65745107199996e-05,923030 +WR,benefit_harm,limb,risk_natural,0.146093999999997,0.000353200605771837,1000000 +WR,benefit_harm,limb,risk_A,0.224721,0.000417398666001692,1000000 +WR,benefit_harm,limb,risk_B1,0.140414,0.000347416219111329,1000000 +WR,benefit_harm,limb,risk_B2,0.139497999999998,0.000346465623165304,1000000 +WR,benefit_harm,limb,rd_A_B1,0.0843070000000022,0.000338711447216219,1000000 +WR,benefit_harm,limb,rd_A_B2,0.0852229999999958,0.000340091393498867,1000000 WR,benefit_harm,male,risk_natural,0.151729000000002,0.000358758190522773,1000000 WR,benefit_harm,male,risk_A,0.280647999999998,0.000449316037975941,1000000 WR,benefit_harm,male,risk_B1,0.143338,0.000350417380489039,1000000 @@ -2847,12 +3557,12 @@ WR,benefit_harm,death,risk_B1,0.349057000000002,0.000476672254242659,1000000 WR,benefit_harm,death,risk_B2,0.348894000000001,0.000476620607959,1000000 WR,benefit_harm,death,rd_A_B1,0.0243809999999991,0.000216763958780748,1000000 WR,benefit_harm,death,rd_A_B2,0.0245440000000004,0.000217406622092058,1000000 -WR,benefit_harm,nco1,risk_natural,0.0922269999999997,0.000289346270392971,1000000 -WR,benefit_harm,nco1,risk_A,0.0927799999999972,0.000290124035149858,1000000 -WR,benefit_harm,nco1,risk_B1,0.0922530000000005,0.0002893829085043,1000000 -WR,benefit_harm,nco1,risk_B2,0.0922440000000033,0.000289370226870602,1000000 -WR,benefit_harm,nco1,rd_A_B1,0.000526999999999687,4.77569319757367e-05,1000000 -WR,benefit_harm,nco1,rd_A_B2,0.000535999999999873,4.78091517359363e-05,1000000 +WR,benefit_harm,nco1,risk_natural,0.092114999999996,0.00028918836491902,1000000 +WR,benefit_harm,nco1,risk_A,0.0926439999999958,0.000289933049729592,1000000 +WR,benefit_harm,nco1,risk_B1,0.0921499999999983,0.000289237724302189,1000000 +WR,benefit_harm,nco1,risk_B2,0.0921410000000014,0.000289225033096556,1000000 +WR,benefit_harm,nco1,rd_A_B1,0.000494000000000074,5.2036128524304e-05,1000000 +WR,benefit_harm,nco1,rd_A_B2,0.000503000000000291,5.21224491726727e-05,1000000 WR,benefit_harm,nco2,risk_natural,0.0591030000000013,0.00023581749511038,1000000 WR,benefit_harm,nco2,risk_A,0.0592070000000002,0.000236011836254925,1000000 WR,benefit_harm,nco2,risk_B1,0.0591709999999993,0.000235944587622365,1000000 @@ -2864,6 +3574,7 @@ WR,benefit_harm,n_proc,mean_A,1.194288,0.000733977323752867,1000000 WR,benefit_harm,n_proc,mean_B1,0.1023,0.000401358781003423,1000000 WR,benefit_harm,n_proc,mean_B2,0.06155,0.000270088264179391,1000000 WR,benefit_harm,n_proc,diff_A_B1,1.091988,0.000667781890877568,1000000 +WR,benefit_harm,limb,seq_itt,0.0973334074261566,0.000147783530106865,5740547 WR,benefit_harm,male,seq_itt,0.151164862860629,0.000168822792610438,5740547 WR,benefit_harm,disease,seq_itt,0.0893474088793283,0.000138695977555324,5740547 WR,benefit_harm,clti,seq_itt,0.0906711503276584,0.000138046490292591,5740547 @@ -2871,8 +3582,9 @@ WR,benefit_harm,amp,seq_itt,0.022837196525,7.51801716296875e-05,5740547 WR,benefit_harm,bypass,seq_itt,0.0412711541252074,9.56013981638524e-05,5740547 WR,benefit_harm,rr,seq_itt,0.119017752141042,0.000136220043209685,5740547 WR,benefit_harm,death,seq_itt,0.0298638788254847,9.55133554460363e-05,5740547 -WR,benefit_harm,nco1,seq_itt,0.000422607810719016,2.13839284890358e-05,5740547 +WR,benefit_harm,nco1,seq_itt,0.000329933715376055,2.313327401482e-05,5740547 WR,benefit_harm,nco2,seq_itt,-2.28201249811852e-05,1.53562044389935e-05,5740547 +WR,benefit_harm,limb,seq_itt_m0,0.108257263796146,0.000365471859855377,991527 WR,benefit_harm,male,seq_itt_m0,0.160797436680998,0.000412338987011389,991527 WR,benefit_harm,disease,seq_itt_m0,0.099646303126391,0.000344419161911224,991527 WR,benefit_harm,clti,seq_itt_m0,0.10112483069044,0.000343113805514227,991527 @@ -2880,8 +3592,9 @@ WR,benefit_harm,amp,seq_itt_m0,0.0267879745080055,0.000191128057997061,991527 WR,benefit_harm,bypass,seq_itt_m0,0.047026455154525,0.000240806574379491,991527 WR,benefit_harm,rr,seq_itt_m0,0.123349137239833,0.000333015549044507,991527 WR,benefit_harm,death,seq_itt_m0,0.0352506790031949,0.000238003840162652,991527 -WR,benefit_harm,nco1,seq_itt_m0,0.000237008170226315,5.37181538729594e-05,991527 +WR,benefit_harm,nco1,seq_itt_m0,6.15212697185193e-05,5.79628477230741e-05,991527 WR,benefit_harm,nco2,seq_itt_m0,-0.000167418537266102,3.89561510288016e-05,991527 +WR,benefit_harm,limb,seq_itt_m1,0.103970361728148,0.000364252591459303,977115 WR,benefit_harm,male,seq_itt_m1,0.157032693183502,0.00041299852837092,977115 WR,benefit_harm,disease,seq_itt_m1,0.0955916140884094,0.000342706199999578,977115 WR,benefit_harm,clti,seq_itt_m1,0.0969834666339165,0.000341242341577693,977115 @@ -2889,8 +3602,9 @@ WR,benefit_harm,amp,seq_itt_m1,0.0250922358166665,0.000188256123105124,977115 WR,benefit_harm,bypass,seq_itt_m1,0.0446876774995785,0.000238212679518822,977115 WR,benefit_harm,rr,seq_itt_m1,0.121604928795484,0.000333404057272363,977115 WR,benefit_harm,death,seq_itt_m1,0.0329019613863246,0.0002362380414788,977115 -WR,benefit_harm,nco1,seq_itt_m1,0.000313166822738173,5.3452632265961e-05,977115 +WR,benefit_harm,nco1,seq_itt_m1,0.000179098673135073,5.76847489764473e-05,977115 WR,benefit_harm,nco2,seq_itt_m1,-0.000104388940913151,3.80733346701358e-05,977115 +WR,benefit_harm,limb,seq_itt_m2,0.0994160911329711,0.000362760169897419,963164 WR,benefit_harm,male,seq_itt_m2,0.153105805449537,0.000413503407256975,963164 WR,benefit_harm,disease,seq_itt_m2,0.0913001316494417,0.000340719056116911,963164 WR,benefit_harm,clti,seq_itt_m2,0.0926550410937246,0.000339233498661571,963164 @@ -2898,8 +3612,9 @@ WR,benefit_harm,amp,seq_itt_m2,0.0234279935711878,0.000185047671145751,963164 WR,benefit_harm,bypass,seq_itt_m2,0.0422025740164702,0.000235245747763374,963164 WR,benefit_harm,rr,seq_itt_m2,0.119832136583179,0.000333587454232638,963164 WR,benefit_harm,death,seq_itt_m2,0.0307403515912133,0.000234569559189761,963164 -WR,benefit_harm,nco1,seq_itt_m2,0.00038934179433597,5.26427647903044e-05,963164 +WR,benefit_harm,nco1,seq_itt_m2,0.000295899763695209,5.69136092600225e-05,963164 WR,benefit_harm,nco2,seq_itt_m2,-2.28413852682647e-05,3.79776387369097e-05,963164 +WR,benefit_harm,limb,seq_itt_m3,0.0948788027193723,0.000361036338654238,949485 WR,benefit_harm,male,seq_itt_m3,0.149073445078121,0.000413683231422861,949485 WR,benefit_harm,disease,seq_itt_m3,0.0870271778911723,0.000338476362393518,949485 WR,benefit_harm,clti,seq_itt_m3,0.0883194573900546,0.000336836849086539,949485 @@ -2907,8 +3622,9 @@ WR,benefit_harm,amp,seq_itt_m3,0.0219782303037951,0.000182442494858033,949485 WR,benefit_harm,bypass,seq_itt_m3,0.0399321737573503,0.000232385796988401,949485 WR,benefit_harm,rr,seq_itt_m3,0.118097705598297,0.000333783083672046,949485 WR,benefit_harm,death,seq_itt_m3,0.0285744377215018,0.00023307397711669,949485 -WR,benefit_harm,nco1,seq_itt_m3,0.000476047541562014,5.19580938636292e-05,949485 +WR,benefit_harm,nco1,seq_itt_m3,0.000405482972348369,5.63325227133003e-05,949485 WR,benefit_harm,nco2,seq_itt_m3,-2.10640505152894e-06,3.73850006392941e-05,949485 +WR,benefit_harm,limb,seq_itt_m4,0.0903360940627543,0.000359283176191402,936226 WR,benefit_harm,male,seq_itt_m4,0.145019471794205,0.000413950187141027,936226 WR,benefit_harm,disease,seq_itt_m4,0.0827770217874715,0.000336236833939785,936226 WR,benefit_harm,clti,seq_itt_m4,0.0839946764990485,0.000334433463630028,936226 @@ -2916,8 +3632,9 @@ WR,benefit_harm,amp,seq_itt_m4,0.0204042613642424,0.000179466890155718,936226 WR,benefit_harm,bypass,seq_itt_m4,0.0376351436512102,0.000229491284630492,936226 WR,benefit_harm,rr,seq_itt_m4,0.116323409091396,0.000333866648300473,936226 WR,benefit_harm,death,seq_itt_m4,0.0266239134567935,0.000231267742081997,936226 -WR,benefit_harm,nco1,seq_itt_m4,0.00054260402936918,5.13999818906789e-05,936226 +WR,benefit_harm,nco1,seq_itt_m4,0.000492402475470717,5.5652707165587e-05,936226 WR,benefit_harm,nco2,seq_itt_m4,5.87464992430726e-05,3.66443623967607e-05,936226 +WR,benefit_harm,limb,seq_itt_m5,0.0860221227912469,0.000357657469632037,923030 WR,benefit_harm,male,seq_itt_m5,0.140965082391689,0.000414134321666578,923030 WR,benefit_harm,disease,seq_itt_m5,0.078687583285488,0.000334080773042301,923030 WR,benefit_harm,clti,seq_itt_m5,0.0798803939200224,0.000332161232530241,923030 @@ -2925,5 +3642,5 @@ WR,benefit_harm,amp,seq_itt_m5,0.0189408794947081,0.000176369128368282,923030 WR,benefit_harm,bypass,seq_itt_m5,0.0355654745782917,0.000226768757897618,923030 WR,benefit_harm,rr,seq_itt_m5,0.114455651495621,0.000333845958957762,923030 WR,benefit_harm,death,seq_itt_m5,0.0245593317660327,0.000229208511522821,923030 -WR,benefit_harm,nco1,seq_itt_m5,0.000595863623067299,5.06265285316315e-05,923030 +WR,benefit_harm,nco1,seq_itt_m5,0.000570945689739583,5.4972774973538e-05,923030 WR,benefit_harm,nco2,seq_itt_m5,0.000114839170991583,3.62569334918711e-05,923030 diff --git a/simulations/truths/truths_rct.csv b/simulations/truths/truths_rct.csv index 209192f..9d3fb13 100644 --- a/simulations/truths/truths_rct.csv +++ b/simulations/truths/truths_rct.csv @@ -1,193 +1,973 @@ world,scenario,outcome,estimand,value,mcse,n -W0,null,male,rct_realistic_itt,0.135990258102635,0.000920184352771069,138782 +W0,null,limb,rct_realistic_itt_h12,0,0,138782 +W0,null,limb,rct_realistic_itt_h24,0,0,138782 +W0,null,limb,rct_realistic_itt,0,0,138782 +W0,null,male,rct_realistic_itt_h12,0.0316896791667746,0.000489980259881347,138782 +W0,null,male,rct_realistic_itt_h24,0.066135680620639,0.000696255343077188,138782 +W0,null,male,rct_realistic_itt,0.140661174578609,0.00098072361759117,138782 +W0,null,disease,rct_realistic_itt_h12,0,0,138782 +W0,null,disease,rct_realistic_itt_h24,0,0,138782 W0,null,disease,rct_realistic_itt,0,0,138782 +W0,null,rr,rct_realistic_itt_h12,0.0329190178576472,0.000498508344475691,138782 +W0,null,rr,rct_realistic_itt_h24,0.0717591137320835,0.000722074502261802,138782 +W0,null,rr,rct_realistic_itt,0.176524278977813,0.00107249504657992,138782 +W0,null,nco1,rct_realistic_itt_h12,0,0,138782 +W0,null,nco1,rct_realistic_itt_h24,0,0,138782 W0,null,nco1,rct_realistic_itt,0,0,138782 +W0,null,nco2,rct_realistic_itt_h12,0,0,138782 +W0,null,nco2,rct_realistic_itt_h24,0,0,138782 W0,null,nco2,rct_realistic_itt,0,0,138782 -W0,null,male,rct_ideal_itt,0.132398000000003,0.000338976229994509,1000000 +W0,null,limb,rct_ideal_itt_h12,0,0,1000000 +W0,null,limb,rct_ideal_itt_h24,0,0,1000000 +W0,null,limb,rct_ideal_itt,0,0,1000000 +W0,null,male,rct_ideal_itt_h12,0.0313360000000107,0.000174379055808226,1000000 +W0,null,male,rct_ideal_itt_h24,0.0641560000000435,0.000245132632800575,1000000 +W0,null,male,rct_ideal_itt,0.132398000000112,0.000338976060504823,1000000 +W0,null,disease,rct_ideal_itt_h12,0,0,1000000 +W0,null,disease,rct_ideal_itt_h24,0,0,1000000 W0,null,disease,rct_ideal_itt,0,0,1000000 +W0,null,rr,rct_ideal_itt_h12,0.0327740000000121,0.000178207364955272,1000000 +W0,null,rr,rct_ideal_itt_h24,0.0702760000000496,0.000255728926453558,1000000 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      benefit_harm W0 Naive ‘ever early PVI’V3_random5.555.693.05-0.140.072.641.291.110.961.00
      diseasebenefit_harmW0Naive ‘ever early PVI’ V4_within 4.92 5.69 0.84 0.89
      diseasebenefit_harmW0Landmark, + month-5 severity (suppl.)V1_ignore5.385.353.050.030.192.303.521.100.950.24
      disease benefit_harm W0Landmark at 6 monthsV1_ignoreLandmark, + month-5 severity (suppl.)V2_cluster 5.38 5.35 3.05 benefit_harm W0 Landmark at 6 monthsV2_cluster5.385.35V1_ignore4.484.40 3.050.030.192.303.521.100.950.240.080.061.351.101.160.970.98
      disease benefit_harm W0 Landmark at 6 monthsV3_random5.385.35V2_cluster4.484.40 3.050.030.192.303.551.090.950.240.080.061.351.101.160.970.98
      disease W0 Landmark at 6 months V4_within5.875.354.254.40 3.050.520.452.306.470.83-0.150.121.351.790.89 0.900.140.79
      disease benefit_harm W0 Sequential trials, ITTV3_random4.223.983.050.240.110.931.131.100.990.96
      diseasebenefit_harmW0Sequential trials, ITT V4_within 4.05 3.98 0.89 0.79
      disease benefit_harm W0 0.87 0.20
      disease benefit_harm W0 0.89 0.18
      diseasebenefit_harmW0CCW, A vs B2V3_random3.363.033.050.330.28-0.022.850.940.900.19
      disease benefit_harm benefit_harm W0 CCW, A vs B1 (reference)V3_random3.383.053.050.330.280.002.850.940.910.19
      diseasebenefit_harmW0CCW, A vs B1 (reference) V4_within 3.29 3.05 0.92 0.15
      disease benefit_harm W1 0.83 1.00
      disease benefit_harm W1 0.91 1.00
      disease benefit_harm W1 0.92 1.00
      disease benefit_harm W1 0.98 1.00
      disease benefit_harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 11.96 8.86 0.85 0.82
      disease benefit_harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 11.96 8.86 0.86 0.81
      diseasebenefit_harmW1Landmark at 6 monthsV1_ignore11.579.707.941.870.091.751.680.910.781.00
      disease benefit_harm W1 Landmark at 6 monthsV3_random11.718.86V2_cluster11.579.70 7.942.850.230.915.260.840.870.811.870.091.751.681.030.881.00
      disease benefit_harm W1 Landmark at 6 monthsV4_within10.138.86V3_random11.159.70 7.941.270.440.916.850.760.850.541.450.071.751.591.050.911.00
      disease benefit_harm W1Landmark at 6 monthsV4_within10.219.707.940.510.111.751.831.090.981.00
      diseasebenefit_harmW1 Sequential trials, ITT V1_ignore 11.22 0.73 1.00
      disease benefit_harm W1 0.83 1.00
      disease benefit_harm W1 0.90 1.00
      disease benefit_harm W1 0.97 1.00
      disease benefit_harm W1 0.90 0.89
      disease benefit_harm W1 0.91 0.89
      disease benefit_harm W1 0.93 0.86
      disease benefit_harm W1 0.87 0.66
      disease benefit_harm W1 0.90 0.88
      disease benefit_harm W1 0.92 0.89
      disease benefit_harm W1 0.93 0.86
      disease benefit_harm W1 0.87 0.65
      disease benefit_harm W1_rho0 0.94 1.00
      disease benefit_harm W1_rho0 0.95 1.00
      disease benefit_harm W1_rho0 0.95 1.00
      disease benefit_harm W1_rho0 0.88 1.00
      disease benefit_harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 11.09 10.12 0.95 0.79
      disease benefit_harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 11.09 10.12 0.95 0.79
      diseasebenefit_harmW1_rho0Landmark at 6 monthsV1_ignore9.679.687.92-0.010.091.771.600.930.911.00
      disease benefit_harm W1_rho0 Landmark at 6 monthsV3_random11.0310.12V2_cluster9.679.68 7.920.910.232.215.190.900.940.79-0.010.091.771.601.020.961.00
      disease benefit_harm W1_rho0 Landmark at 6 monthsV4_within10.2210.12V3_random9.789.68 7.92 0.100.582.217.210.850.820.460.071.771.670.980.961.00
      disease benefit_harm W1_rho0Landmark at 6 monthsV4_within9.579.687.92-0.110.121.772.210.920.911.00
      diseasebenefit_harmW1_rho0 Sequential trials, ITT V1_ignore 9.36 0.95 1.00
      disease benefit_harm W1_rho0 0.95 1.00
      disease benefit_harm W1_rho0 0.95 1.00
      disease benefit_harm W1_rho0 0.92 1.00
      disease benefit_harm W1_rho0 0.95 0.82
      disease benefit_harm W1_rho0 0.95 0.80
      disease benefit_harm W1_rho0 0.93 0.76
      disease benefit_harm W1_rho0 0.91 0.60
      disease benefit_harm W1_rho0 0.95 0.79
      disease benefit_harm W1_rho0 0.95 0.79
      disease benefit_harm W1_rho0 0.93 0.75
      disease benefit_harm W1_rho0 0.91 0.60
      disease benefit_harm W2 0.00 1.00
      disease benefit_harm W2 0.00 1.00
      disease benefit_harm W2 0.15 0.94
      disease benefit_harm W2 0.06 0.54
      disease benefit_harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 4.88 4.29 0.94 0.18
      disease benefit_harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 4.88 4.29 0.95 0.18
      diseasebenefit_harmW2Landmark at 6 monthsV1_ignore4.593.813.050.780.410.771.251.020.920.98
      disease benefit_harm W2 Landmark at 6 monthsV3_random5.234.29V2_cluster4.593.81 3.050.940.811.243.841.020.970.160.780.410.771.251.010.910.99
      disease benefit_harm W2 Landmark at 6 monthsV4_within4.954.29V3_random4.323.81 3.050.660.881.245.550.960.910.050.500.380.771.711.050.950.74
      disease benefit_harm W2Landmark at 6 monthsV4_within3.763.813.05-0.050.380.771.971.080.930.43
      diseasebenefit_harmW2 Sequential trials, ITT V1_ignore 4.39 0.92 0.98
      disease benefit_harm W2 0.91 0.99
      disease benefit_harm W2 0.97 0.74
      disease benefit_harm W2 0.94 0.49
      disease benefit_harm W2 0.96 0.11
      disease benefit_harm W2 0.97 0.14
      disease benefit_harm W2 0.92 0.07
      disease benefit_harm W2 0.90 0.05
      disease benefit_harm W2 0.96 0.11
      disease benefit_harm W2 0.97 0.14
      disease benefit_harm W2 0.92 0.07
      disease benefit_harm W2 0.90 0.05
      disease benefit_harm W3 0.00 1.00
      disease benefit_harm W3 0.00 1.00
      disease benefit_harm W3 0.23 0.93
      disease benefit_harm W3 0.08 0.50
      disease benefit_harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 5.81 4.11 0.98 0.23
      disease benefit_harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 5.81 4.11 0.98 0.26
      diseasebenefit_harmW3Landmark at 6 monthsV1_ignore5.714.092.981.620.431.121.430.940.741.00
      disease benefit_harm W3 Landmark at 6 monthsV3_random5.534.11V2_cluster5.714.09 2.981.420.491.133.731.070.950.171.620.431.121.430.930.721.00
      disease benefit_harm W3 Landmark at 6 monthsV4_within4.544.11V3_random4.664.09 2.980.430.591.135.280.920.890.110.560.391.122.060.960.970.76
      disease benefit_harm W3Landmark at 6 monthsV4_within3.784.092.98-0.310.411.122.570.940.920.40
      diseasebenefit_harmW3 Sequential trials, ITT V1_ignore 5.52 0.74 1.00
      disease benefit_harm W3 0.74 1.00
      disease benefit_harm W3 0.95 0.75
      disease benefit_harm W3 0.90 0.52
      disease benefit_harm W3 0.96 0.23
      disease benefit_harm W3 0.96 0.24
      disease benefit_harm W3 0.88 0.07
      disease benefit_harm W3 0.82 0.06
      disease benefit_harm W3 0.96 0.22
      disease benefit_harm W3 0.96 0.23
      disease benefit_harm W3 0.88 0.07
      disease benefit_harm W3 0.82 0.07
      disease benefit_harm W4 0.93 0.99
      disease benefit_harm W4 0.92 0.99
      diseasebenefit_harmW4Naive ‘ever early PVI’V3_random5.635.753.29-0.110.072.451.391.040.940.99
      disease benefit_harm disease benefit_harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 4.93 4.77 disease benefit_harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 4.93 4.77 benefit_harm W4 Landmark at 6 monthsV3_random4.904.77V1_ignore4.584.51 3.290.130.131.483.421.030.950.230.070.071.221.251.040.930.97
      disease benefit_harm W4 Landmark at 6 monthsV4_within4.104.77V2_cluster4.584.51 3.29-0.670.281.484.420.970.820.090.070.071.221.251.040.930.96
      disease benefit_harm W4Landmark at 6 monthsV4_within4.464.513.29-0.050.101.221.641.010.930.86
      diseasebenefit_harmW4 Sequential trials, ITT V1_ignore 4.32 0.94 0.94
      disease benefit_harm W4 0.94 0.95
      diseasebenefit_harmW4Sequential trials, ITTV3_random4.344.223.290.130.120.931.241.020.940.95
      disease benefit_harm benefit_harm W4 CCW, A vs B2V3_random2.923.043.29-0.120.27-0.252.740.950.910.17
      diseasebenefit_harmW4CCW, A vs B2 V4_within 2.65 3.04 0.87 0.13
      disease benefit_harm W4 0.91 0.18
      disease benefit_harm W4 0.91 0.18
      diseasebenefit_harmW4CCW, A vs B1 (reference)V3_random3.143.293.29-0.160.270.002.730.950.910.20
      disease benefit_harm disease benefit_harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 10.29 5.09 disease benefit_harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 10.29 5.09 benefit_harm W5 Landmark at 6 monthsV3_random10.305.09V1_ignore9.873.97 3.055.200.402.041.305.900.120.921.23 0.90 0.00 1.00 benefit_harm W5 Landmark at 6 monthsV4_within10.325.09V2_cluster9.873.97 3.055.220.412.041.540.920.045.900.120.921.230.900.001.00
      diseasebenefit_harmW5Landmark at 6 monthsV3_random9.883.973.055.910.120.921.250.910.001.00
      diseasebenefit_harmW5Landmark at 6 monthsV4_within9.903.973.055.930.120.921.480.930.00 1.00
      disease benefit_harmWENaive ‘ever early PVI’V1_ignore6.905.463.051.450.082.411.211.020.791.00
      diseasebenefit_harmWENaive ‘ever early PVI’V2_cluster6.905.463.051.450.082.411.211.030.811.00
      diseasebenefit_harmWENaive ‘ever early PVI’V3_random7.035.463.051.570.082.411.261.010.761.00
      diseasebenefit_harmWENaive ‘ever early PVI’V4_within6.555.463.051.090.112.411.501.010.941.00
      diseasebenefit_harmWELandmark, + month-5 severity (suppl.)V1_ignore8.564.743.053.820.421.693.131.060.850.86
      diseasebenefit_harmWELandmark, + month-5 severity (suppl.)V2_cluster8.564.743.053.820.421.693.131.060.880.86
      diseasebenefit_harmWELandmark at 6 monthsV1_ignore6.264.203.052.060.081.151.200.990.621.00
      diseasebenefit_harmWELandmark at 6 monthsV2_cluster6.264.203.052.060.081.151.200.990.611.00
      diseasebenefit_harmWELandmark at 6 monthsV3_random6.324.203.052.120.081.151.250.970.601.00
      diseasebenefit_harmWELandmark at 6 monthsV4_within6.184.203.051.990.101.151.540.960.721.00
      diseasebenefit_harmWESequential trials, ITTV1_ignore5.373.983.051.390.120.931.161.010.771.00
      diseasebenefit_harmWESequential trials, ITTV2_cluster5.373.983.051.390.120.931.161.010.791.00
      diseasebenefit_harmWESequential trials, ITTV3_random5.403.983.051.410.120.931.211.000.761.00
      diseasebenefit_harmWESequential trials, ITTV4_within5.353.983.051.360.150.931.500.960.840.99
      diseasebenefit_harmWECCW, A vs B2V1_ignore4.303.033.051.270.25-0.022.491.000.960.39
      diseasebenefit_harmWECCW, A vs B2V2_cluster4.303.033.051.270.25-0.022.491.010.950.38
      diseasebenefit_harmWECCW, A vs B2V3_random4.393.033.051.360.25-0.022.531.010.950.37
      diseasebenefit_harmWECCW, A vs B2V4_within4.493.033.051.460.31-0.023.110.980.940.26
      diseasebenefit_harmWECCW, A vs B1 (reference)V1_ignore4.323.053.051.270.250.002.491.000.960.39
      diseasebenefit_harmWECCW, A vs B1 (reference)V2_cluster4.323.053.051.270.250.002.491.010.950.38
      diseasebenefit_harmWECCW, A vs B1 (reference)V3_random4.413.053.051.360.250.002.531.010.950.37
      diseasebenefit_harmWECCW, A vs B1 (reference)V4_within4.513.053.051.460.310.003.110.980.940.26
      diseasebenefit_harm WR Naive ‘ever early PVI’ V1_ignore disease benefit_harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 22.24 11.10 disease benefit_harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 22.24 11.10 benefit_harm WR Landmark at 6 monthsV3_random19.1311.10V1_ignore21.739.72 7.748.031.033.3612.010.531.981.930.760.001.00
      diseasebenefit_harmWRLandmark at 6 monthsV2_cluster21.739.727.7412.010.531.981.931.110.001.00
      diseasebenefit_harmWRLandmark at 6 monthsV3_random18.749.727.749.020.441.98 1.951.061.05 0.00 1.00
      WR Landmark at 6 months V4_within18.4211.1018.059.72 7.747.321.033.362.231.050.038.330.451.982.221.030.02 1.00
      harm W0 Naive ‘ever early PVI’V3_random7.027.185.11-0.160.062.071.690.850.891.00
      diseaseharmW0Naive ‘ever early PVI’ V4_within 6.28 7.18 0.80 0.98
      disease harm W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 7.85 7.95 0.92 0.81
      disease harm W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 7.85 7.95 0.92 0.80
      diseaseharmW0Landmark at 6 monthsV1_ignore5.875.865.110.000.060.761.490.870.930.99
      disease harm W0 Landmark at 6 monthsV3_random7.807.95V2_cluster5.875.86 5.11-0.150.152.843.620.910.910.780.000.060.761.490.870.930.99
      disease W0 Landmark at 6 months V4_within7.297.955.615.86 5.11-0.660.292.844.590.88-0.260.120.761.980.85 0.870.500.95
      disease harm W0 Sequential trials, ITTV3_random5.685.715.11-0.030.160.611.550.830.910.99
      diseaseharmW0Sequential trials, ITT V4_within 5.43 5.71 0.89 0.94
      disease harm W0 0.96 0.44
      disease harm W0 0.96 0.46
      diseaseharmW0CCW, A vs B2V3_random5.385.155.110.230.290.052.911.020.970.43
      disease harm harm W0 CCW, A vs B1 (reference)V3_random5.345.115.110.230.290.002.911.020.970.43
      diseaseharmW0CCW, A vs B1 (reference) V4_within 5.24 5.11 0.93 0.32
      disease harm W1 0.95 1.00
      disease harm W1 0.96 1.00
      disease harm W1 0.97 1.00
      disease harm W1 0.85 1.00
      disease harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 23.70 19.85 0.84 0.96
      disease harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 23.70 19.85 0.84 0.96
      diseaseharmW1Landmark at 6 monthsV1_ignore9.438.577.180.860.091.391.540.960.911.00
      disease harm W1 Landmark at 6 monthsV3_random22.5419.85V2_cluster9.438.57 7.182.690.3212.6712.590.560.830.960.860.091.391.541.000.941.00
      disease harm W1 Landmark at 6 monthsV4_within21.3619.85V3_random9.288.57 7.181.510.5312.6713.130.580.830.940.710.071.391.541.000.961.00
      disease harm W1Landmark at 6 monthsV4_within8.578.577.180.010.111.392.100.900.931.00
      diseaseharmW1 Sequential trials, ITT V1_ignore 9.17 0.91 1.00
      disease harm W1 0.92 1.00
      disease harm W1 0.95 1.00
      disease harm W1 0.89 1.00
      disease harm W1 0.96 0.85
      disease harm W1 0.96 0.85
      disease harm W1 0.96 0.81
      disease harm W1 0.94 0.67
      disease harm W1 0.96 0.85
      disease harm W1 0.96 0.85
      disease harm W1 0.96 0.81
      disease harm W1 0.94 0.66
      disease harm W1_rho0 0.95 1.00
      disease harm W1_rho0 0.96 1.00
      disease harm W1_rho0 0.97 1.00
      disease harm W1_rho0 0.92 1.00
      disease harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 21.20 20.08 0.80 0.95
      disease harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 21.20 20.08 0.78 0.96
      diseaseharmW1_rho0Landmark at 6 monthsV1_ignore8.268.307.12-0.040.081.171.361.050.961.00
      disease harm W1_rho0 Landmark at 6 monthsV3_random20.8320.08V2_cluster8.268.30 7.120.750.2812.9611.510.630.750.94-0.040.081.171.361.080.961.00
      disease harm W1_rho0 Landmark at 6 monthsV4_within20.8520.08V3_random8.388.30 7.120.770.5212.9613.190.620.720.860.080.061.171.401.070.971.00
      disease harm W1_rho0Landmark at 6 monthsV4_within8.168.307.12-0.140.131.171.911.010.961.00
      diseaseharmW1_rho0 Sequential trials, ITT V1_ignore 8.03 0.97 1.00
      disease harm W1_rho0 0.98 1.00
      disease harm W1_rho0 0.98 1.00
      disease harm W1_rho0 0.96 1.00
      disease harm W1_rho0 0.92 0.78
      disease harm W1_rho0 0.92 0.77
      disease harm W1_rho0 0.90 0.75
      disease harm W1_rho0 0.90 0.61
      disease harm W1_rho0 0.92 0.77
      disease harm W1_rho0 0.92 0.76
      disease harm W1_rho0 0.91 0.75
      disease harm W1_rho0 0.90 0.60
      disease harm W2 0.00 1.00
      disease harm W2 0.00 1.00
      disease harm W2 0.13 0.99
      disease harm W2 0.06 0.78
      disease harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 8.27 8.20 0.91 0.76
      disease harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 8.27 8.20 0.90 0.79
      diseaseharmW2Landmark at 6 monthsV1_ignore6.105.215.090.890.420.121.450.930.881.00
      disease harm W2 Landmark at 6 monthsV3_random7.958.20V2_cluster6.105.21 5.09-0.250.703.115.010.860.890.420.121.450.93 0.880.521.00
      disease harm W2 Landmark at 6 monthsV4_within7.128.20V3_random5.915.21 5.09-1.08 0.703.115.840.820.820.300.350.122.120.900.900.92
      disease harm W2Landmark at 6 monthsV4_within5.315.215.090.100.340.122.540.890.880.74
      diseaseharmW2 Sequential trials, ITT V1_ignore 5.91 0.92 1.00
      disease harm W2 0.95 1.00
      disease harm W2 0.86 0.93
      disease harm W2 0.85 0.84
      disease harm W2 0.90 0.36
      disease harm W2 0.91 0.39
      disease harm W2 0.93 0.20
      disease harm W2 0.91 0.19
      disease harm W2 0.90 0.35
      disease harm W2 0.91 0.38
      disease harm W2 0.93 0.20
      disease harm W2 0.91 0.16
      disease harm W3 0.02 1.00
      disease harm W3 0.02 1.00
      disease harm W3 0.25 1.00
      disease harm W3 0.13 0.72
      disease harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 8.43 6.90 0.96 0.87
      disease harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 8.43 6.90 0.95 0.87
      diseaseharmW3Landmark at 6 monthsV1_ignore7.035.594.971.440.420.621.341.050.931.00
      disease harm W3 Landmark at 6 monthsV3_random7.176.90V2_cluster7.035.59 4.970.270.541.943.810.920.940.581.440.420.621.341.050.911.00
      disease harm W3 Landmark at 6 monthsV4_within5.956.90V3_random5.935.59 4.97-0.950.561.944.360.920.870.340.340.390.621.721.080.960.97
      disease harm W3Landmark at 6 monthsV4_within4.955.594.97-0.640.390.622.121.040.910.69
      diseaseharmW3 Sequential trials, ITT V1_ignore 6.94 0.93 1.00
      disease harm W3 0.90 1.00
      disease harm W3 0.96 0.99
      disease harm W3 0.90 0.82
      disease harm W3 0.96 0.49
      disease harm W3 0.96 0.47
      disease harm W3 0.93 0.19
      disease harm W3 0.90 0.15
      disease harm W3 0.96 0.49
      disease harm W3 0.96 0.46
      disease harm W3 0.93 0.19
      disease harm W3 0.91 0.14
      disease harm W4 0.93 1.00
      disease harm W4 0.93 1.00
      diseaseharmW4Naive ‘ever early PVI’V3_random6.626.734.80-0.120.071.931.460.990.951.00
      disease harm disease harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 7.18 7.23 disease harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 7.18 7.23 harm W4 Landmark at 6 monthsV3_random7.257.23V1_ignore5.505.40 4.800.010.142.433.340.090.070.601.211.100.97 1.000.950.71
      disease harm W4 Landmark at 6 monthsV4_within6.847.23V2_cluster5.505.40 4.80-0.390.342.435.380.830.900.350.090.070.601.211.090.971.00
      disease harm W4Landmark at 6 monthsV4_within5.105.404.80-0.300.090.601.461.150.950.97
      diseaseharmW4 Sequential trials, ITT V1_ignore 5.32 0.93 1.00
      disease harm W4 0.92 1.00
      diseaseharmW4Sequential trials, ITTV3_random5.265.424.80-0.160.130.621.300.990.921.00
      disease harm harm W4 CCW, A vs B2V3_random5.225.164.800.050.280.362.801.020.950.42
      diseaseharmW4CCW, A vs B2 V4_within 5.15 5.16 0.90 0.29
      disease harm W4 0.94 0.38
      disease harm W4 0.94 0.37
      diseaseharmW4CCW, A vs B1 (reference)V3_random4.844.804.800.040.280.002.801.020.950.35
      disease harm disease harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 10.68 8.16 disease harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 10.68 8.16 harm W5 Landmark at 6 monthsV3_random10.728.16V1_ignore12.286.04 5.112.550.363.066.240.110.931.091.080.001.00
      diseaseharmW5Landmark at 6 monthsV2_cluster12.286.045.116.240.110.931.091.080.001.00
      diseaseharmW5Landmark at 6 monthsV3_random12.336.045.116.290.110.93 1.111.100.441.080.00 1.00
      W5 Landmark at 6 months V4_within10.658.1612.336.04 5.112.480.373.061.301.130.666.290.120.931.321.090.01 1.00
      disease harmWENaive ‘ever early PVI’V1_ignore8.817.055.111.760.111.941.310.980.751.00
      diseaseharmWENaive ‘ever early PVI’V2_cluster8.817.055.111.760.111.941.310.970.771.00
      diseaseharmWENaive ‘ever early PVI’V3_random8.917.055.111.860.111.941.261.040.761.00
      diseaseharmWENaive ‘ever early PVI’V4_within8.427.055.111.370.151.941.371.160.921.00
      diseaseharmWELandmark, + month-5 severity (suppl.)V1_ignore7.537.975.11-0.440.412.861.330.920.931.00
      diseaseharmWELandmark, + month-5 severity (suppl.)V2_cluster7.537.975.11-0.440.412.861.330.920.921.00
      diseaseharmWELandmark at 6 monthsV1_ignore8.085.695.112.390.090.581.320.940.521.00
      diseaseharmWELandmark at 6 monthsV2_cluster8.085.695.112.390.090.581.320.940.521.00
      diseaseharmWELandmark at 6 monthsV3_random8.125.695.112.440.090.581.271.000.551.00
      diseaseharmWELandmark at 6 monthsV4_within7.965.695.112.270.130.581.421.090.751.00
      diseaseharmWESequential trials, ITTV1_ignore7.115.715.111.390.130.611.330.920.801.00
      diseaseharmWESequential trials, ITTV2_cluster7.115.715.111.390.130.611.330.910.801.00
      diseaseharmWESequential trials, ITTV3_random7.115.715.111.400.130.611.300.950.831.00
      diseaseharmWESequential trials, ITTV4_within7.005.715.111.290.140.611.441.020.891.00
      diseaseharmWECCW, A vs B2V1_ignore6.435.155.111.280.260.052.641.000.930.74
      diseaseharmWECCW, A vs B2V2_cluster6.435.155.111.280.260.052.641.000.930.76
      diseaseharmWECCW, A vs B2V3_random6.455.155.111.300.270.052.681.000.940.75
      diseaseharmWECCW, A vs B2V4_within6.405.155.111.250.310.053.061.000.950.55
      diseaseharmWECCW, A vs B1 (reference)V1_ignore6.395.115.111.280.260.002.641.000.930.72
      diseaseharmWECCW, A vs B1 (reference)V2_cluster6.395.115.111.280.260.002.641.000.930.75
      diseaseharmWECCW, A vs B1 (reference)V3_random6.415.115.111.300.270.002.681.000.940.75
      diseaseharmWECCW, A vs B1 (reference)V4_within6.365.115.111.250.310.003.061.000.950.55
      diseaseharm WR Naive ‘ever early PVI’ V1_ignore disease harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 16.73 15.52 disease harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 16.73 15.52 harm WR Landmark at 6 monthsV3_random15.0015.52V1_ignore18.208.19 6.93-0.521.078.5910.010.511.261.680.860.001.00
      diseaseharmWRLandmark at 6 monthsV2_cluster18.208.196.9310.010.511.261.681.050.001.00
      diseaseharmWRLandmark at 6 monthsV3_random16.688.196.938.480.501.26 1.970.980.950.960.00 1.00
      WR Landmark at 6 months V4_within14.2615.5216.088.19 6.93-1.261.088.592.310.970.867.890.501.262.260.960.04 1.00
      null W0 Naive ‘ever early PVI’V3_random1.161.250.00-0.100.061.251.191.030.920.13
      diseasenullW0Naive ‘ever early PVI’ V4_within 0.54 1.25 0.84 0.03
      diseasenullW0Landmark, + month-5 severity (suppl.)V1_ignore-0.16-0.300.000.140.06-0.300.991.060.970.06
      disease null W0Landmark at 6 monthsV1_ignoreLandmark, + month-5 severity (suppl.)V2_cluster -0.16 -0.30 0.00 null W0 Landmark at 6 monthsV2_cluster-0.16-0.30V1_ignore-0.08-0.22 0.00 0.14 0.06-0.300.991.060.97-0.221.001.050.96 0.06
      null W0 Landmark at 6 monthsV3_random-0.12-0.30V2_cluster-0.08-0.22 0.000.180.05-0.301.020.140.06-0.221.00 1.050.970.95 0.06
      W0 Landmark at 6 months V4_within-0.33-0.30-0.25-0.22 0.00-0.04-0.03 0.07-0.301.261.01-0.221.291.00 0.940.080.07
      disease null W0 Sequential trials, ITTV3_random-0.030.000.00-0.030.100.000.981.060.950.05
      diseasenullW0Sequential trials, ITT V4_within -0.12 0.00 0.91 0.09
      disease null W0 0.85 0.15
      disease null W0 0.85 0.15
      diseasenullW0CCW, A vs B2V3_random-0.210.000.00-0.210.270.002.690.860.860.14
      disease null null W0 CCW, A vs B1 (reference)V3_random-0.210.000.00-0.210.270.002.690.860.860.14
      diseasenullW0CCW, A vs B1 (reference) V4_within -0.14 0.00 0.89 0.11
      disease null W1 0.89 0.10
      disease null W1 0.88 0.11
      disease null W1 0.93 0.12
      disease null W1 0.85 0.09
      disease null W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore -0.17 -0.28 0.98 0.05
      disease null W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster -0.17 -0.28 0.97 0.05
      diseasenullW1Landmark at 6 monthsV1_ignore-0.11-0.220.000.110.05-0.220.981.100.970.05
      disease null W1 Landmark at 6 monthsV3_random-0.12-0.28V2_cluster-0.11-0.22 0.000.160.11 0.05-0.281.031.060.970.04-0.220.981.100.960.05
      disease null W1 Landmark at 6 monthsV4_withinV3_random-0.06 -0.22-0.28 0.000.060.09-0.281.351.040.920.110.160.05-0.221.031.070.970.04
      disease null W1Landmark at 6 monthsV4_within-0.15-0.220.000.070.09-0.221.351.040.930.10
      diseasenullW1 Sequential trials, ITT V1_ignore -0.11 0.94 0.06
      disease null W1 0.94 0.06
      disease null W1 0.94 0.06
      disease null W1 0.92 0.08
      disease null W1 0.88 0.12
      disease null W1 0.88 0.12
      disease null W1 0.88 0.12
      disease null W1 0.84 0.16
      disease null W1 0.88 0.12
      disease null W1 0.88 0.12
      disease null W1 0.88 0.12
      disease null W1 0.85 0.15
      disease null W1_rho0 0.91 0.12
      disease null W1_rho0 0.91 0.12
      disease null W1_rho0 0.92 0.14
      disease null W1_rho0 0.89 0.08
      disease null W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore -0.31 -0.46 0.95 0.11
      disease null W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster -0.31 -0.46 0.94 0.11
      diseasenullW1_rho0Landmark at 6 monthsV1_ignore-0.24-0.390.000.150.05-0.390.971.060.950.09
      disease null W1_rho0 Landmark at 6 monthsV3_random-0.29-0.46V2_cluster-0.24-0.39 0.000.180.15 0.05-0.461.021.030.93-0.390.971.060.96 0.10
      null W1_rho0 Landmark at 6 monthsV4_within-0.49-0.46V3_random-0.22-0.39 0.00-0.020.170.05-0.391.011.040.950.09
      diseasenullW1_rho0Landmark at 6 monthsV4_within-0.42-0.390.00-0.03 0.08-0.46-0.39 1.27 1.00 0.900.130.12
      disease null W1_rho0 0.91 0.09
      disease null W1_rho0 0.91 0.09
      disease null W1_rho0 0.91 0.09
      disease null W1_rho0 0.90 0.10
      disease null W1_rho0 0.90 0.10
      disease null W1_rho0 0.88 0.12
      disease null W1_rho0 0.90 0.10
      disease null W1_rho0 0.88 0.12
      disease null W1_rho0 0.90 0.10
      disease null W1_rho0 0.88 0.12
      disease null W1_rho0 0.90 0.10
      disease null W1_rho0 0.88 0.12
      disease null W2 0.00 0.16
      disease null W2 0.00 0.14
      disease null W2 0.07 0.20
      disease null W2 0.02 0.06
      disease null W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 0.32 0.03 0.92 0.08
      disease null W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 0.32 0.03 0.93 0.07
      diseasenullW2Landmark at 6 monthsV1_ignore0.380.090.000.290.320.091.101.030.920.08
      disease null W2 Landmark at 6 monthsV2_cluster0.380.090.000.290.320.091.101.040.930.08
      diseasenullW2Landmark at 6 months V3_random0.180.030.240.09 0.00 0.15 0.290.030.09 1.96 0.960.930.94 0.06
      disease null W2 Landmark at 6 months V4_within-0.180.03-0.120.09 0.00 -0.21 0.330.032.860.840.092.850.83 0.910.090.07
      disease null W2 0.92 0.08
      disease null W2 0.93 0.07
      disease null W2 0.92 0.08
      disease null W2 0.93 0.07
      disease null W2 0.95 0.05
      disease null W2 0.95 0.05
      disease null W2 0.92 0.08
      disease null W2 0.90 0.10
      disease null W2 0.95 0.05
      disease null W2 0.95 0.05
      disease null W2 0.92 0.08
      disease null W2 0.89 0.11
      disease null W3 0.00 0.51
      disease null W3 0.00 0.55
      disease null W3 0.10 0.27
      disease null W3 0.03 0.08
      disease null W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 1.18 0.13 0.85 0.17
      disease null W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 1.18 0.13 0.85 0.19
      diseasenullW3Landmark at 6 monthsV1_ignore1.230.190.001.040.360.191.280.900.840.19
      disease null W3 Landmark at 6 monthsV3_randomV2_cluster1.23 0.190.13 0.000.070.320.131.700.880.920.081.040.360.191.280.890.840.19
      disease null W3 Landmark at 6 monthsV4_within-0.550.13V3_random0.260.19 0.00-0.680.070.320.191.710.880.920.09
      diseasenullW3Landmark at 6 monthsV4_within-0.490.190.00-0.67 0.330.130.19 2.00 0.88 0.84 0.15
      disease null W3 0.74 0.26
      disease null W3 0.75 0.25
      disease null W3 0.87 0.13
      disease null W3 0.84 0.16
      disease null W3 0.93 0.07
      disease null W3 0.93 0.07
      disease null W3 0.85 0.15
      disease null W3 0.81 0.19
      disease null W3 0.93 0.07
      disease null W3 0.93 0.07
      disease null W3 0.85 0.15
      disease null W3 0.81 0.19
      disease null W4 0.90 0.12
      disease null W4 0.90 0.12
      diseasenullW4Naive ‘ever early PVI’V3_random1.191.480.00-0.290.071.481.280.970.910.12
      disease null disease null W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore -0.02 -0.05 disease null W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster -0.02 -0.05 null W4 Landmark at 6 monthsV3_random0.04-0.05V1_ignore0.03 0.000.090.05-0.051.120.000.030.060.001.10 0.990.940.060.950.05
      disease null W4 Landmark at 6 monthsV4_within-0.15-0.05V2_cluster0.03 0.00-0.100.000.030.060.001.100.990.950.05
      diseasenullW4Landmark at 6 monthsV4_within-0.090.000.00-0.09 0.08-0.051.351.010.001.361.00 0.92 0.08
      disease null W4 0.96 0.04
      disease null W4 0.96 0.04
      diseasenullW4Sequential trials, ITTV3_random0.070.000.000.070.110.001.061.000.970.03
      disease null null W4 CCW, A vs B2V3_random0.300.000.000.300.220.002.151.100.950.05
      diseasenullW4CCW, A vs B2 V4_within 0.24 0.00 0.92 0.08
      disease null W4 0.95 0.05
      disease null W4 0.94 0.06
      diseasenullW4CCW, A vs B1 (reference)V3_random0.280.000.000.280.220.002.161.090.950.05
      disease null disease null W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 2.80 -0.34 disease null W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 2.80 -0.34 null W5 Landmark at 6 monthsV3_random2.82-0.34V1_ignore4.25-0.28 0.003.160.08-0.340.951.080.060.814.530.09-0.280.921.070.001.00
      diseasenullW5Landmark at 6 monthsV2_cluster4.25-0.280.004.530.09-0.280.921.070.001.00
      diseasenullW5Landmark at 6 monthsV3_random4.27-0.280.004.550.09-0.280.941.070.001.00
      disease W5 Landmark at 6 months V4_within2.77-0.344.28-0.28 0.003.114.55 0.10-0.341.151.100.250.62-0.281.131.090.010.97
      disease
      disease nullWENaive ‘ever early PVI’V1_ignore2.381.240.001.140.091.241.130.980.810.57
      diseasenullWENaive ‘ever early PVI’V2_cluster2.381.240.001.140.091.241.130.980.820.58
      diseasenullWENaive ‘ever early PVI’V3_random2.441.240.001.200.091.241.141.000.820.58
      diseasenullWENaive ‘ever early PVI’V4_within1.971.240.000.730.121.241.231.100.950.28
      diseasenullWELandmark, + month-5 severity (suppl.)V1_ignore0.84-0.120.000.960.07-0.121.031.000.880.11
      diseasenullWELandmark, + month-5 severity (suppl.)V2_cluster0.84-0.120.000.960.07-0.121.031.010.890.10
      diseasenullWELandmark at 6 monthsV1_ignore1.52-0.050.001.580.07-0.051.001.030.670.31
      diseasenullWELandmark at 6 monthsV2_cluster1.52-0.050.001.580.07-0.051.001.040.670.31
      diseasenullWELandmark at 6 monthsV3_random1.55-0.050.001.610.08-0.051.031.040.690.30
      diseasenullWELandmark at 6 monthsV4_within1.41-0.050.001.470.11-0.051.231.070.850.15
      diseasenullWESequential trials, ITTV1_ignore1.100.000.001.100.110.001.070.960.810.19
      diseasenullWESequential trials, ITTV2_cluster1.100.000.001.100.110.001.070.970.820.18
      diseasenullWESequential trials, ITTV3_random1.100.000.001.100.110.001.100.960.820.18
      diseasenullWESequential trials, ITTV4_within1.030.000.001.030.130.001.261.010.870.13
      diseasenullWECCW, A vs B2V1_ignore0.920.000.000.920.220.002.231.020.980.02
      diseasenullWECCW, A vs B2V2_cluster0.920.000.000.920.220.002.231.030.980.02
      diseasenullWECCW, A vs B2V3_random0.890.000.000.890.230.002.291.010.960.04
      diseasenullWECCW, A vs B2V4_within0.830.000.000.830.270.002.701.020.950.05
      diseasenullWECCW, A vs B1 (reference)V1_ignore0.920.000.000.920.220.002.231.030.980.02
      diseasenullWECCW, A vs B1 (reference)V2_cluster0.920.000.000.920.220.002.231.030.980.02
      diseasenullWECCW, A vs B1 (reference)V3_random0.890.000.000.890.230.002.291.010.960.04
      diseasenullWECCW, A vs B1 (reference)V4_within0.840.000.000.840.270.002.701.020.960.04
      diseasenull WR Naive ‘ever early PVI’ V1_ignore disease null WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 3.44 0.03 disease null WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 3.44 0.03 null WR Landmark at 6 monthsV3_random2.980.03V1_ignore4.540.08 0.002.950.370.031.520.950.430.574.460.400.081.111.000.020.98
      diseasenullWRLandmark at 6 monthsV2_cluster4.540.080.004.460.400.081.110.990.020.98
      diseasenullWRLandmark at 6 monthsV3_random4.310.080.004.230.380.081.470.960.130.90
      disease WR Landmark at 6 months V4_within2.560.033.990.08 0.002.530.380.031.790.950.690.313.910.390.081.700.960.270.75
      disease 0.09
      limbbenefit_harmW0Naive ‘ever early PVI’V1_ignore6.076.263.60-0.190.082.661.291.170.971.00
      limbbenefit_harmW0Naive ‘ever early PVI’V2_cluster6.076.263.60-0.190.082.661.291.170.971.00
      limbbenefit_harmW0Naive ‘ever early PVI’V4_within5.496.263.60-0.770.142.661.980.940.890.90
      limbbenefit_harmW0Landmark, + month-5 severity (suppl.)V1_ignore6.416.203.600.210.212.603.971.070.940.33
      limbbenefit_harmW0Landmark, + month-5 severity (suppl.)V2_cluster6.416.203.600.210.212.603.971.070.940.32
      limbbenefit_harmW0Landmark at 6 monthsV1_ignore5.315.173.600.130.071.571.241.140.960.99
      limbbenefit_harmW0Landmark at 6 monthsV2_cluster5.315.173.600.130.071.571.241.150.980.99
      limbbenefit_harmW0Landmark at 6 monthsV4_within4.995.173.60-0.190.141.572.030.870.900.83
      limbbenefit_harmW0Sequential trials, ITTV1_ignore5.034.713.600.320.121.111.191.150.990.98
      limbbenefit_harmW0Sequential trials, ITTV2_cluster5.034.713.600.320.121.111.191.150.980.98
      limbbenefit_harmW0Sequential trials, ITTV4_within4.754.713.600.040.191.111.910.860.920.86
      limbbenefit_harmW0CCW, A vs B2V1_ignore3.903.573.600.330.31-0.033.120.950.910.20
      limbbenefit_harmW0CCW, A vs B2V2_cluster3.903.573.600.330.31-0.033.120.950.910.20
      limbbenefit_harmW0CCW, A vs B2V4_within3.733.573.600.150.33-0.033.321.030.970.15
      limbbenefit_harmW0CCW, A vs B1 (reference)V1_ignore3.933.603.600.330.310.003.130.950.910.21
      limbbenefit_harmW0CCW, A vs B1 (reference)V2_cluster3.933.603.600.330.310.003.130.940.910.21
      limbbenefit_harmW0CCW, A vs B1 (reference)V4_within3.753.603.600.150.330.003.321.030.970.15
      limbbenefit_harmW1Naive ‘ever early PVI’V1_ignore13.1011.418.611.690.112.801.760.960.861.00
      limbbenefit_harmW1Naive ‘ever early PVI’V2_cluster13.1011.418.611.690.112.801.761.070.911.00
      limbbenefit_harmW1Naive ‘ever early PVI’V3_random12.6711.418.611.260.092.801.701.090.941.00
      limbbenefit_harmW1Naive ‘ever early PVI’V4_within11.2211.418.61-0.190.132.801.931.120.981.00
      limbbenefit_harmW1Landmark, + month-5 severity (suppl.)V1_ignore13.5310.238.613.300.271.625.730.850.840.84
      limbbenefit_harmW1Landmark, + month-5 severity (suppl.)V2_cluster13.5310.238.613.300.271.625.730.870.830.84
      limbbenefit_harmW1Landmark at 6 monthsV1_ignore12.6410.658.611.990.102.041.800.930.811.00
      limbbenefit_harmW1Landmark at 6 monthsV2_cluster12.6410.658.611.990.102.041.801.040.891.00
      limbbenefit_harmW1Landmark at 6 monthsV3_random12.2010.658.611.550.082.041.721.060.931.00
      limbbenefit_harmW1Landmark at 6 monthsV4_within11.1310.658.610.480.122.041.951.120.981.00
      limbbenefit_harmW1Sequential trials, ITTV1_ignore12.2210.038.612.190.181.421.760.910.751.00
      limbbenefit_harmW1Sequential trials, ITTV2_cluster12.2210.038.612.190.181.421.761.020.861.00
      limbbenefit_harmW1Sequential trials, ITTV3_random11.6410.038.611.610.171.421.671.050.911.00
      limbbenefit_harmW1Sequential trials, ITTV4_within10.6410.038.610.610.191.421.851.070.971.00
      limbbenefit_harmW1CCW, A vs B2V1_ignore10.578.658.611.920.400.044.010.880.880.91
      limbbenefit_harmW1CCW, A vs B2V2_cluster10.578.658.611.920.400.044.010.900.910.91
      limbbenefit_harmW1CCW, A vs B2V3_random10.158.658.611.490.400.043.960.900.940.83
      limbbenefit_harmW1CCW, A vs B2V4_within9.518.658.610.860.450.044.500.910.920.62
      limbbenefit_harmW1CCW, A vs B1 (reference)V1_ignore10.538.618.611.920.400.004.010.880.880.91
      limbbenefit_harmW1CCW, A vs B1 (reference)V2_cluster10.538.618.611.920.400.004.010.900.910.90
      limbbenefit_harmW1CCW, A vs B1 (reference)V3_random10.108.618.611.490.400.003.960.900.940.83
      limbbenefit_harmW1CCW, A vs B1 (reference)V4_within9.458.618.610.850.450.004.500.910.920.62
      limbbenefit_harmW1_rho0Naive ‘ever early PVI’V1_ignore11.2011.408.58-0.200.102.821.651.000.941.00
      limbbenefit_harmW1_rho0Naive ‘ever early PVI’V2_cluster11.2011.408.58-0.200.102.821.651.080.951.00
      limbbenefit_harmW1_rho0Naive ‘ever early PVI’V3_random11.3611.408.58-0.050.082.821.701.060.971.00
      limbbenefit_harmW1_rho0Naive ‘ever early PVI’V4_within10.6811.408.58-0.720.122.822.201.010.911.00
      limbbenefit_harmW1_rho0Landmark, + month-5 severity (suppl.)V1_ignore12.2711.218.581.060.272.635.350.920.940.77
      limbbenefit_harmW1_rho0Landmark, + month-5 severity (suppl.)V2_cluster12.2711.218.581.060.272.635.350.930.950.77
      limbbenefit_harmW1_rho0Landmark at 6 monthsV1_ignore10.5910.598.58-0.000.092.011.640.980.941.00
      limbbenefit_harmW1_rho0Landmark at 6 monthsV2_cluster10.5910.598.58-0.000.092.011.641.070.951.00
      limbbenefit_harmW1_rho0Landmark at 6 monthsV3_random10.7210.598.580.140.072.011.691.040.971.00
      limbbenefit_harmW1_rho0Landmark at 6 monthsV4_within10.4610.598.58-0.120.132.012.250.990.921.00
      limbbenefit_harmW1_rho0Sequential trials, ITTV1_ignore10.2310.058.580.180.161.471.590.970.961.00
      limbbenefit_harmW1_rho0Sequential trials, ITTV2_cluster10.2310.058.580.180.161.471.591.060.981.00
      limbbenefit_harmW1_rho0Sequential trials, ITTV3_random10.2510.058.580.200.161.471.641.030.981.00
      limbbenefit_harmW1_rho0Sequential trials, ITTV4_within10.0010.058.58-0.050.211.472.130.940.921.00
      limbbenefit_harmW1_rho0CCW, A vs B2V1_ignore8.728.608.580.120.330.023.321.020.940.74
      limbbenefit_harmW1_rho0CCW, A vs B2V2_cluster8.728.608.580.120.330.023.321.030.940.72
      limbbenefit_harmW1_rho0CCW, A vs B2V3_random8.838.608.580.230.360.023.570.980.930.74
      limbbenefit_harmW1_rho0CCW, A vs B2V4_within8.888.608.580.280.460.024.570.920.910.58
      limbbenefit_harmW1_rho0CCW, A vs B1 (reference)V1_ignore8.708.588.580.120.330.003.321.020.940.73
      limbbenefit_harmW1_rho0CCW, A vs B1 (reference)V2_cluster8.708.588.580.120.330.003.321.030.940.72
      limbbenefit_harmW1_rho0CCW, A vs B1 (reference)V3_random8.808.588.580.220.360.003.570.980.930.74
      limbbenefit_harmW1_rho0CCW, A vs B1 (reference)V4_within8.858.588.580.280.460.004.570.920.910.58
      limbbenefit_harmW2Naive ‘ever early PVI’V1_ignore6.3914.393.60-7.990.9710.781.411.080.001.00
      limbbenefit_harmW2Naive ‘ever early PVI’V2_cluster6.3914.393.60-7.990.9710.781.411.080.001.00
      limbbenefit_harmW2Naive ‘ever early PVI’V3_random7.5614.393.60-6.830.9410.782.271.110.220.93
      limbbenefit_harmW2Naive ‘ever early PVI’V4_within5.1814.393.60-9.201.0110.782.721.020.070.57
      limbbenefit_harmW2Landmark, + month-5 severity (suppl.)V1_ignore5.905.113.600.790.861.513.891.050.920.22
      limbbenefit_harmW2Landmark, + month-5 severity (suppl.)V2_cluster5.905.113.600.790.861.513.891.040.930.24
      limbbenefit_harmW2Landmark at 6 monthsV1_ignore5.484.423.601.060.430.821.351.060.940.99
      limbbenefit_harmW2Landmark at 6 monthsV2_cluster5.484.423.601.060.430.821.351.040.941.00
      limbbenefit_harmW2Landmark at 6 monthsV3_random5.154.423.600.720.400.821.951.060.960.78
      limbbenefit_harmW2Landmark at 6 monthsV4_within4.464.423.600.040.400.822.311.080.960.47
      limbbenefit_harmW2Sequential trials, ITTV1_ignore5.254.703.600.550.141.101.390.990.940.99
      limbbenefit_harmW2Sequential trials, ITTV2_cluster5.254.703.600.550.141.101.390.990.920.99
      limbbenefit_harmW2Sequential trials, ITTV3_random4.924.703.600.220.191.101.910.990.940.79
      limbbenefit_harmW2Sequential trials, ITTV4_within4.574.703.60-0.130.211.102.111.000.930.55
      limbbenefit_harmW2CCW, A vs B2V1_ignore3.743.583.600.160.28-0.022.781.120.950.15
      limbbenefit_harmW2CCW, A vs B2V2_cluster3.743.583.600.160.28-0.022.781.120.960.17
      limbbenefit_harmW2CCW, A vs B2V3_random4.103.583.600.520.37-0.023.661.140.950.11
      limbbenefit_harmW2CCW, A vs B2V4_within4.023.583.600.440.47-0.024.671.040.910.06
      limbbenefit_harmW2CCW, A vs B1 (reference)V1_ignore3.763.603.600.160.280.002.771.130.950.14
      limbbenefit_harmW2CCW, A vs B1 (reference)V2_cluster3.763.603.600.160.280.002.771.120.960.17
      limbbenefit_harmW2CCW, A vs B1 (reference)V3_random4.123.603.600.520.370.003.661.140.950.11
      limbbenefit_harmW2CCW, A vs B1 (reference)V4_within4.043.603.600.440.470.004.671.040.910.07
      limbbenefit_harmW3Naive ‘ever early PVI’V1_ignore7.5114.833.54-7.320.8911.291.760.900.021.00
      limbbenefit_harmW3Naive ‘ever early PVI’V2_cluster7.5114.833.54-7.320.8911.291.760.900.021.00
      limbbenefit_harmW3Naive ‘ever early PVI’V3_random8.0314.833.54-6.810.8411.292.850.900.270.92
      limbbenefit_harmW3Naive ‘ever early PVI’V4_within5.3014.833.54-9.530.9011.292.970.940.130.55
      limbbenefit_harmW3Landmark, + month-5 severity (suppl.)V1_ignore6.866.173.540.680.802.634.341.000.920.29
      limbbenefit_harmW3Landmark, + month-5 severity (suppl.)V2_cluster6.866.173.540.680.802.634.341.000.930.33
      limbbenefit_harmW3Landmark at 6 monthsV1_ignore6.524.903.541.630.461.361.600.930.781.00
      limbbenefit_harmW3Landmark at 6 monthsV2_cluster6.524.903.541.630.461.361.600.930.811.00
      limbbenefit_harmW3Landmark at 6 monthsV3_random5.574.903.540.670.431.362.310.960.960.75
      limbbenefit_harmW3Landmark at 6 monthsV4_within4.564.903.54-0.340.451.362.820.960.900.49
      limbbenefit_harmW3Sequential trials, ITTV1_ignore6.284.623.541.660.161.081.570.910.771.00
      limbbenefit_harmW3Sequential trials, ITTV2_cluster6.284.623.541.660.161.081.570.910.781.00
      limbbenefit_harmW3Sequential trials, ITTV3_random5.314.623.540.690.211.082.140.920.930.79
      limbbenefit_harmW3Sequential trials, ITTV4_within4.664.623.540.040.241.082.410.900.910.61
      limbbenefit_harmW3CCW, A vs B2V1_ignore4.283.523.540.770.35-0.023.460.940.920.23
      limbbenefit_harmW3CCW, A vs B2V2_cluster4.283.523.540.770.35-0.023.460.950.910.22
      limbbenefit_harmW3CCW, A vs B2V3_random3.933.523.540.410.48-0.024.750.900.870.11
      limbbenefit_harmW3CCW, A vs B2V4_within3.453.523.54-0.070.56-0.025.640.850.860.14
      limbbenefit_harmW3CCW, A vs B1 (reference)V1_ignore4.303.543.540.760.350.003.460.940.920.23
      limbbenefit_harmW3CCW, A vs B1 (reference)V2_cluster4.303.543.540.760.350.003.460.950.910.22
      limbbenefit_harmW3CCW, A vs B1 (reference)V3_random3.953.543.540.410.480.004.760.900.870.11
      limbbenefit_harmW3CCW, A vs B1 (reference)V4_within3.503.543.54-0.040.570.005.650.850.860.14
      limbbenefit_harmW4Naive ‘ever early PVI’V1_ignore5.926.163.91-0.230.082.241.491.010.940.99
      limbbenefit_harmW4Naive ‘ever early PVI’V2_cluster5.926.163.91-0.230.082.241.491.000.940.99
      limbbenefit_harmW4Naive ‘ever early PVI’V4_within5.546.163.91-0.610.132.241.801.050.920.91
      limbbenefit_harmW4Landmark, + month-5 severity (suppl.)V1_ignore5.685.413.910.270.151.493.681.070.960.28
      limbbenefit_harmW4Landmark, + month-5 severity (suppl.)V2_cluster5.685.413.910.270.151.493.681.070.960.27
      limbbenefit_harmW4Landmark at 6 monthsV1_ignore5.235.133.910.100.071.221.431.000.930.96
      limbbenefit_harmW4Landmark at 6 monthsV2_cluster5.235.133.910.100.071.221.430.990.930.96
      limbbenefit_harmW4Landmark at 6 monthsV4_within5.195.133.910.060.111.221.870.990.940.88
      limbbenefit_harmW4Sequential trials, ITTV1_ignore4.915.023.91-0.110.141.101.380.980.920.94
      limbbenefit_harmW4Sequential trials, ITTV2_cluster4.915.023.91-0.110.141.101.380.980.920.94
      limbbenefit_harmW4Sequential trials, ITTV4_within4.875.023.91-0.140.171.101.740.960.920.88
      limbbenefit_harmW4CCW, A vs B2V1_ignore3.133.583.91-0.450.29-0.332.861.000.930.12
      limbbenefit_harmW4CCW, A vs B2V2_cluster3.133.583.91-0.450.29-0.332.860.990.930.12
      limbbenefit_harmW4CCW, A vs B2V4_within2.973.583.91-0.620.34-0.333.410.980.900.12
      limbbenefit_harmW4CCW, A vs B1 (reference)V1_ignore3.473.913.91-0.440.290.002.861.000.930.19
      limbbenefit_harmW4CCW, A vs B1 (reference)V2_cluster3.473.913.91-0.440.290.002.860.990.930.19
      limbbenefit_harmW4CCW, A vs B1 (reference)V4_within3.313.913.91-0.600.340.003.400.980.910.11
      limbbenefit_harmW5Naive ‘ever early PVI’V1_ignore11.935.823.606.120.162.211.250.970.001.00
      limbbenefit_harmW5Naive ‘ever early PVI’V2_cluster11.935.823.606.120.162.211.250.970.001.00
      limbbenefit_harmW5Naive ‘ever early PVI’V3_random11.995.823.606.170.152.211.310.950.001.00
      limbbenefit_harmW5Naive ‘ever early PVI’V4_within11.715.823.605.890.172.211.590.940.031.00
      limbbenefit_harmW5Landmark, + month-5 severity (suppl.)V1_ignore12.286.313.605.970.432.711.280.970.001.00
      limbbenefit_harmW5Landmark, + month-5 severity (suppl.)V2_cluster12.286.313.605.970.432.711.280.970.001.00
      limbbenefit_harmW5Landmark at 6 monthsV1_ignore11.804.813.606.980.141.211.230.990.001.00
      limbbenefit_harmW5Landmark at 6 monthsV2_cluster11.804.813.606.980.141.211.230.990.001.00
      limbbenefit_harmW5Landmark at 6 monthsV3_random11.824.813.607.000.131.211.280.970.001.00
      limbbenefit_harmW5Landmark at 6 monthsV4_within11.804.813.606.990.141.211.600.930.001.00
      limbbenefit_harmW5Sequential trials, ITTV1_ignore10.024.713.605.310.121.111.240.990.001.00
      limbbenefit_harmW5Sequential trials, ITTV2_cluster10.024.713.605.310.121.111.240.990.001.00
      limbbenefit_harmW5Sequential trials, ITTV3_random9.994.713.605.280.131.111.310.950.011.00
      limbbenefit_harmW5Sequential trials, ITTV4_within9.904.713.605.190.161.111.640.910.081.00
      limbbenefit_harmW5CCW, A vs B2V1_ignore8.373.573.604.790.28-0.032.770.960.650.93
      limbbenefit_harmW5CCW, A vs B2V2_cluster8.373.573.604.790.28-0.032.770.960.640.93
      limbbenefit_harmW5CCW, A vs B2V3_random8.463.573.604.890.28-0.032.820.960.670.91
      limbbenefit_harmW5CCW, A vs B2V4_within8.623.573.605.040.34-0.033.430.950.690.84
      limbbenefit_harmW5CCW, A vs B1 (reference)V1_ignore8.393.603.604.790.280.002.770.960.640.95
      limbbenefit_harmW5CCW, A vs B1 (reference)V2_cluster8.393.603.604.790.280.002.770.960.640.94
      limbbenefit_harmW5CCW, A vs B1 (reference)V3_random8.493.603.604.890.280.002.820.960.670.91
      limbbenefit_harmW5CCW, A vs B1 (reference)V4_within8.643.603.605.040.340.003.430.950.690.84
      limbbenefit_harmWENaive ‘ever early PVI’V1_ignore7.895.953.601.940.092.351.470.920.661.00
      limbbenefit_harmWENaive ‘ever early PVI’V2_cluster7.895.953.601.940.092.351.470.920.671.00
      limbbenefit_harmWENaive ‘ever early PVI’V3_random8.025.953.602.070.092.351.510.920.651.00
      limbbenefit_harmWENaive ‘ever early PVI’V4_within7.525.953.601.560.122.351.770.940.851.00
      limbbenefit_harmWELandmark, + month-5 severity (suppl.)V1_ignore10.425.563.604.860.501.963.920.940.820.89
      limbbenefit_harmWELandmark, + month-5 severity (suppl.)V2_cluster10.425.563.604.860.501.963.920.940.800.89
      limbbenefit_harmWELandmark at 6 monthsV1_ignore7.454.893.602.560.091.291.470.900.461.00
      limbbenefit_harmWELandmark at 6 monthsV2_cluster7.454.893.602.560.091.291.470.910.461.00
      limbbenefit_harmWELandmark at 6 monthsV3_random7.524.893.602.620.091.291.500.900.491.00
      limbbenefit_harmWELandmark at 6 monthsV4_within7.354.893.602.450.121.291.800.910.661.00
      limbbenefit_harmWESequential trials, ITTV1_ignore6.374.713.601.650.141.111.410.930.731.00
      limbbenefit_harmWESequential trials, ITTV2_cluster6.374.713.601.650.141.111.410.930.731.00
      limbbenefit_harmWESequential trials, ITTV3_random6.384.713.601.670.141.111.440.930.701.00
      limbbenefit_harmWESequential trials, ITTV4_within6.284.713.601.570.171.111.750.910.851.00
      limbbenefit_harmWECCW, A vs B2V1_ignore5.133.573.601.560.26-0.032.631.060.970.47
      limbbenefit_harmWECCW, A vs B2V2_cluster5.133.573.601.560.26-0.032.631.070.970.43
      limbbenefit_harmWECCW, A vs B2V3_random5.223.573.601.650.26-0.032.611.090.960.44
      limbbenefit_harmWECCW, A vs B2V4_within5.293.573.601.720.31-0.033.131.090.930.31
      limbbenefit_harmWECCW, A vs B1 (reference)V1_ignore5.163.603.601.560.260.002.631.060.970.47
      limbbenefit_harmWECCW, A vs B1 (reference)V2_cluster5.163.603.601.560.260.002.631.070.970.44
      limbbenefit_harmWECCW, A vs B1 (reference)V3_random5.253.603.601.650.260.002.611.090.960.45
      limbbenefit_harmWECCW, A vs B1 (reference)V4_within5.323.603.601.720.310.003.131.090.930.31
      limbbenefit_harmWRNaive ‘ever early PVI’V1_ignore23.7520.778.432.981.0812.342.000.760.511.00
      limbbenefit_harmWRNaive ‘ever early PVI’V2_cluster23.7520.778.432.981.0812.342.001.070.751.00
      limbbenefit_harmWRNaive ‘ever early PVI’V3_random21.4320.778.430.671.0412.341.971.090.941.00
      limbbenefit_harmWRNaive ‘ever early PVI’V4_within19.6520.778.43-1.121.0612.342.251.060.951.00
      limbbenefit_harmWRLandmark, + month-5 severity (suppl.)V1_ignore24.1712.068.4312.111.073.622.020.780.001.00
      limbbenefit_harmWRLandmark, + month-5 severity (suppl.)V2_cluster24.1712.068.4312.111.073.622.021.080.001.00
      limbbenefit_harmWRLandmark at 6 monthsV1_ignore23.6010.508.4313.100.532.062.030.760.001.00
      limbbenefit_harmWRLandmark at 6 monthsV2_cluster23.6010.508.4313.100.532.062.031.070.001.00
      limbbenefit_harmWRLandmark at 6 monthsV3_random20.5710.508.4310.080.472.062.071.040.001.00
      limbbenefit_harmWRLandmark at 6 monthsV4_within19.9310.508.439.440.482.062.321.050.001.00
      limbbenefit_harmWRSequential trials, ITTV1_ignore22.019.738.4312.280.211.302.080.740.001.00
      limbbenefit_harmWRSequential trials, ITTV2_cluster22.019.738.4312.280.211.302.081.040.001.00
      limbbenefit_harmWRSequential trials, ITTV3_random18.729.738.438.990.211.302.131.000.001.00
      limbbenefit_harmWRSequential trials, ITTV4_within17.829.738.438.090.241.302.351.000.031.00
      limbbenefit_harmWRCCW, A vs B2V1_ignore18.568.528.4310.040.420.094.200.850.221.00
      limbbenefit_harmWRCCW, A vs B2V2_cluster18.568.528.4310.040.420.094.200.900.251.00
      limbbenefit_harmWRCCW, A vs B2V3_random16.598.528.438.060.460.094.610.950.561.00
      limbbenefit_harmWRCCW, A vs B2V4_within16.478.528.437.950.520.095.210.950.700.97
      limbbenefit_harmWRCCW, A vs B1 (reference)V1_ignore18.468.438.4310.030.420.004.200.850.221.00
      limbbenefit_harmWRCCW, A vs B1 (reference)V2_cluster18.468.438.4310.030.420.004.200.900.251.00
      limbbenefit_harmWRCCW, A vs B1 (reference)V3_random16.458.438.438.020.460.004.600.950.571.00
      limbbenefit_harmWRCCW, A vs B1 (reference)V4_within16.228.438.437.790.520.005.200.950.710.97
      limbharmW0Naive ‘ever early PVI’V1_ignore7.988.246.18-0.260.072.051.630.950.921.00
      limbharmW0Naive ‘ever early PVI’V2_cluster7.988.246.18-0.260.072.051.630.950.921.00
      limbharmW0Naive ‘ever early PVI’V4_within7.398.246.18-0.840.132.052.080.940.891.00
      limbharmW0Landmark, + month-5 severity (suppl.)V1_ignore9.389.446.18-0.060.173.254.080.900.910.82
      limbharmW0Landmark, + month-5 severity (suppl.)V2_cluster9.389.446.18-0.060.173.254.080.900.910.82
      limbharmW0Landmark at 6 monthsV1_ignore7.137.116.180.020.070.921.550.950.941.00
      limbharmW0Landmark at 6 monthsV2_cluster7.137.116.180.020.070.921.550.950.931.00
      limbharmW0Landmark at 6 monthsV4_within6.877.116.18-0.240.130.922.100.910.920.97
      limbharmW0Sequential trials, ITTV1_ignore6.906.926.18-0.010.150.731.500.950.951.00
      limbharmW0Sequential trials, ITTV2_cluster6.906.926.18-0.010.150.731.500.950.951.00
      limbharmW0Sequential trials, ITTV4_within6.646.926.18-0.280.200.731.970.890.930.98
      limbharmW0CCW, A vs B2V1_ignore6.456.246.180.210.300.063.001.080.940.54
      limbharmW0CCW, A vs B2V2_cluster6.456.246.180.210.300.063.001.080.940.51
      limbharmW0CCW, A vs B2V4_within6.606.246.180.360.410.064.051.000.950.37
      limbharmW0CCW, A vs B1 (reference)V1_ignore6.406.186.180.210.300.003.001.080.940.52
      limbharmW0CCW, A vs B1 (reference)V2_cluster6.406.186.180.210.300.003.001.080.940.50
      limbharmW0CCW, A vs B1 (reference)V4_within6.546.186.180.350.410.004.051.000.950.37
      limbharmW1Naive ‘ever early PVI’V1_ignore11.6511.068.410.590.112.651.631.030.951.00
      limbharmW1Naive ‘ever early PVI’V2_cluster11.6511.068.410.590.112.651.631.060.971.00
      limbharmW1Naive ‘ever early PVI’V3_random11.5011.068.410.440.092.651.701.030.961.00
      limbharmW1Naive ‘ever early PVI’V4_within10.4511.068.41-0.600.162.652.420.880.891.00
      limbharmW1Landmark, + month-5 severity (suppl.)V1_ignore25.3621.638.413.740.3813.2112.070.560.850.96
      limbharmW1Landmark, + month-5 severity (suppl.)V2_cluster25.3621.638.413.740.3813.2112.070.590.880.95
      limbharmW1Landmark at 6 monthsV1_ignore10.9310.038.410.910.091.611.670.980.941.00
      limbharmW1Landmark at 6 monthsV2_cluster10.9310.038.410.910.091.611.671.020.941.00
      limbharmW1Landmark at 6 monthsV3_random10.7810.038.410.750.081.611.710.990.931.00
      limbharmW1Landmark at 6 monthsV4_within10.0910.038.410.060.131.612.410.880.951.00
      limbharmW1Sequential trials, ITTV1_ignore10.649.338.411.310.160.911.580.990.901.00
      limbharmW1Sequential trials, ITTV2_cluster10.649.338.411.310.160.911.581.020.911.00
      limbharmW1Sequential trials, ITTV3_random10.349.338.411.010.160.911.640.990.921.00
      limbharmW1Sequential trials, ITTV4_within9.679.338.410.340.220.912.220.860.921.00
      limbharmW1CCW, A vs B2V1_ignore9.718.508.411.210.320.093.171.060.970.90
      limbharmW1CCW, A vs B2V2_cluster9.718.508.411.210.320.093.171.070.980.91
      limbharmW1CCW, A vs B2V3_random9.468.508.410.960.330.093.311.030.970.87
      limbharmW1CCW, A vs B2V4_within8.908.508.410.400.390.093.940.990.970.63
      limbharmW1CCW, A vs B1 (reference)V1_ignore9.638.418.411.210.320.003.171.060.980.90
      limbharmW1CCW, A vs B1 (reference)V2_cluster9.638.418.411.210.320.003.171.070.990.90
      limbharmW1CCW, A vs B1 (reference)V3_random9.388.418.410.960.330.003.311.030.970.85
      limbharmW1CCW, A vs B1 (reference)V4_within8.818.418.410.390.390.003.940.990.970.62
      limbharmW1_rho0Naive ‘ever early PVI’V1_ignore10.4010.708.35-0.300.082.341.421.160.971.00
      limbharmW1_rho0Naive ‘ever early PVI’V2_cluster10.4010.708.35-0.300.082.341.421.170.991.00
      limbharmW1_rho0Naive ‘ever early PVI’V3_random10.5610.708.35-0.130.072.341.461.160.981.00
      limbharmW1_rho0Naive ‘ever early PVI’V4_within9.8910.708.35-0.810.132.341.831.160.931.00
      limbharmW1_rho0Landmark, + month-5 severity (suppl.)V1_ignore22.8121.788.351.030.3513.4311.250.640.820.95
      limbharmW1_rho0Landmark, + month-5 severity (suppl.)V2_cluster22.8121.788.351.030.3513.4311.250.650.810.95
      limbharmW1_rho0Landmark at 6 monthsV1_ignore9.659.718.35-0.050.081.351.441.100.971.00
      limbharmW1_rho0Landmark at 6 monthsV2_cluster9.659.718.35-0.050.081.351.441.130.971.00
      limbharmW1_rho0Landmark at 6 monthsV3_random9.799.718.350.090.071.351.511.100.981.00
      limbharmW1_rho0Landmark at 6 monthsV4_within9.549.718.35-0.170.141.351.961.090.961.00
      limbharmW1_rho0Sequential trials, ITTV1_ignore9.369.318.350.050.130.961.351.130.971.00
      limbharmW1_rho0Sequential trials, ITTV2_cluster9.369.318.350.050.130.961.351.150.961.00
      limbharmW1_rho0Sequential trials, ITTV3_random9.389.318.350.070.140.961.411.130.991.00
      limbharmW1_rho0Sequential trials, ITTV4_within9.159.318.35-0.160.180.961.811.050.951.00
      limbharmW1_rho0CCW, A vs B2V1_ignore8.688.438.350.250.350.083.510.960.910.78
      limbharmW1_rho0CCW, A vs B2V2_cluster8.688.438.350.250.350.083.510.960.910.79
      limbharmW1_rho0CCW, A vs B2V3_random8.778.438.350.340.360.083.560.970.900.78
      limbharmW1_rho0CCW, A vs B2V4_within8.578.438.350.140.420.084.220.950.900.66
      limbharmW1_rho0CCW, A vs B1 (reference)V1_ignore8.618.358.350.260.350.003.510.960.910.78
      limbharmW1_rho0CCW, A vs B1 (reference)V2_cluster8.618.358.350.260.350.003.510.960.910.78
      limbharmW1_rho0CCW, A vs B1 (reference)V3_random8.708.358.350.350.360.003.570.970.900.78
      limbharmW1_rho0CCW, A vs B1 (reference)V4_within8.498.358.350.140.420.004.220.950.900.64
      limbharmW2Naive ‘ever early PVI’V1_ignore8.4418.256.17-9.820.9712.081.541.030.001.00
      limbharmW2Naive ‘ever early PVI’V2_cluster8.4418.256.17-9.820.9712.081.541.050.001.00
      limbharmW2Naive ‘ever early PVI’V3_random9.7918.256.17-8.460.9112.082.810.940.170.99
      limbharmW2Naive ‘ever early PVI’V4_within7.2818.256.17-10.980.9912.083.130.880.080.83
      limbharmW2Landmark, + month-5 severity (suppl.)V1_ignore10.0310.346.17-0.310.824.174.750.890.880.83
      limbharmW2Landmark, + month-5 severity (suppl.)V2_cluster10.0310.346.17-0.310.824.174.750.890.860.81
      limbharmW2Landmark at 6 monthsV1_ignore7.506.506.171.000.430.331.511.000.911.00
      limbharmW2Landmark at 6 monthsV2_cluster7.506.506.171.000.430.331.511.010.911.00
      limbharmW2Landmark at 6 monthsV3_random7.246.506.170.740.360.332.270.950.900.95
      limbharmW2Landmark at 6 monthsV4_within6.496.506.17-0.010.360.332.790.920.910.80
      limbharmW2Sequential trials, ITTV1_ignore7.256.926.170.330.140.751.411.030.951.00
      limbharmW2Sequential trials, ITTV2_cluster7.256.926.170.330.140.751.411.040.961.00
      limbharmW2Sequential trials, ITTV3_random7.046.926.170.120.210.752.130.930.910.96
      limbharmW2Sequential trials, ITTV4_within6.676.926.17-0.260.250.752.500.880.900.90
      limbharmW2CCW, A vs B2V1_ignore6.406.246.170.170.340.073.391.000.960.42
      limbharmW2CCW, A vs B2V2_cluster6.406.246.170.170.340.073.390.990.950.45
      limbharmW2CCW, A vs B2V3_random6.556.246.170.310.440.074.371.000.920.31
      limbharmW2CCW, A vs B2V4_within6.296.246.170.060.520.075.220.930.920.27
      limbharmW2CCW, A vs B1 (reference)V1_ignore6.366.176.170.190.340.003.391.000.960.42
      limbharmW2CCW, A vs B1 (reference)V2_cluster6.366.176.170.190.340.003.390.990.950.45
      limbharmW2CCW, A vs B1 (reference)V3_random6.486.176.170.310.440.004.371.000.920.31
      limbharmW2CCW, A vs B1 (reference)V4_within6.186.176.170.010.520.005.220.930.910.26
      limbharmW3Naive ‘ever early PVI’V1_ignore9.2714.786.06-5.510.928.721.511.080.061.00
      limbharmW3Naive ‘ever early PVI’V2_cluster9.2714.786.06-5.510.928.721.511.080.071.00
      limbharmW3Naive ‘ever early PVI’V3_random9.3214.786.06-5.460.858.722.501.020.390.99
      limbharmW3Naive ‘ever early PVI’V4_within6.4714.786.06-8.310.928.722.670.960.150.75
      limbharmW3Landmark, + month-5 severity (suppl.)V1_ignore10.248.196.062.040.712.133.661.030.960.88
      limbharmW3Landmark, + month-5 severity (suppl.)V2_cluster10.248.196.062.040.712.133.661.020.960.89
      limbharmW3Landmark at 6 monthsV1_ignore8.346.346.062.010.420.281.491.050.801.00
      limbharmW3Landmark at 6 monthsV2_cluster8.346.346.062.010.420.281.491.050.821.00
      limbharmW3Landmark at 6 monthsV3_random7.076.346.060.740.390.282.061.020.950.97
      limbharmW3Landmark at 6 monthsV4_within5.986.346.06-0.350.390.282.560.970.890.74
      limbharmW3Sequential trials, ITTV1_ignore8.206.806.061.400.140.741.421.060.921.00
      limbharmW3Sequential trials, ITTV2_cluster8.206.806.061.400.140.741.421.060.901.00
      limbharmW3Sequential trials, ITTV3_random6.826.806.060.020.190.741.911.010.960.99
      limbharmW3Sequential trials, ITTV4_within6.076.806.06-0.730.230.742.280.940.890.83
      limbharmW3CCW, A vs B2V1_ignore6.816.126.060.690.320.063.201.060.960.58
      limbharmW3CCW, A vs B2V2_cluster6.816.126.060.690.320.063.201.070.960.56
      limbharmW3CCW, A vs B2V3_random6.326.126.060.190.430.064.320.980.940.27
      limbharmW3CCW, A vs B2V4_within5.876.126.06-0.250.500.065.040.920.880.23
      limbharmW3CCW, A vs B1 (reference)V1_ignore6.756.066.060.690.320.003.201.060.960.57
      limbharmW3CCW, A vs B1 (reference)V2_cluster6.756.066.060.690.320.003.201.070.960.56
      limbharmW3CCW, A vs B1 (reference)V3_random6.256.066.060.190.430.004.320.970.940.26
      limbharmW3CCW, A vs B1 (reference)V4_within5.776.066.06-0.290.500.005.040.920.870.20
      limbharmW4Naive ‘ever early PVI’V1_ignore7.587.775.83-0.190.071.941.580.980.941.00
      limbharmW4Naive ‘ever early PVI’V2_cluster7.587.775.83-0.190.071.941.580.970.931.00
      limbharmW4Naive ‘ever early PVI’V4_within6.777.775.83-1.010.131.941.851.040.900.98
      limbharmW4Landmark, + month-5 severity (suppl.)V1_ignore9.159.115.830.040.203.284.030.940.930.79
      limbharmW4Landmark, + month-5 severity (suppl.)V2_cluster9.159.115.830.040.203.284.030.940.930.80
      limbharmW4Landmark at 6 monthsV1_ignore6.756.635.830.120.070.801.461.020.971.00
      limbharmW4Landmark at 6 monthsV2_cluster6.756.635.830.120.070.801.461.020.971.00
      limbharmW4Landmark at 6 monthsV4_within6.306.635.83-0.330.110.801.761.070.960.97
      limbharmW4Sequential trials, ITTV1_ignore6.556.585.83-0.030.150.751.490.950.951.00
      limbharmW4Sequential trials, ITTV2_cluster6.556.585.83-0.030.150.751.490.950.961.00
      limbharmW4Sequential trials, ITTV4_within6.086.585.83-0.500.170.751.730.990.930.98
      limbharmW4CCW, A vs B2V1_ignore6.356.255.830.100.320.433.250.990.940.53
      limbharmW4CCW, A vs B2V2_cluster6.356.255.830.100.320.433.250.990.940.55
      limbharmW4CCW, A vs B2V4_within6.516.255.830.260.390.433.860.990.910.40
      limbharmW4CCW, A vs B1 (reference)V1_ignore5.975.835.830.140.320.003.240.990.940.45
      limbharmW4CCW, A vs B1 (reference)V2_cluster5.975.835.830.140.320.003.240.990.940.46
      limbharmW4CCW, A vs B1 (reference)V4_within6.035.835.830.200.390.003.870.990.900.33
      limbharmW5Naive ‘ever early PVI’V1_ignore15.038.356.186.680.132.161.310.980.001.00
      limbharmW5Naive ‘ever early PVI’V2_cluster15.038.356.186.680.132.161.310.970.001.00
      limbharmW5Naive ‘ever early PVI’V3_random15.158.356.186.800.122.161.330.980.001.00
      limbharmW5Naive ‘ever early PVI’V4_within14.958.356.186.610.152.161.561.000.011.00
      limbharmW5Landmark, + month-5 severity (suppl.)V1_ignore12.929.746.183.170.403.561.390.950.301.00
      limbharmW5Landmark, + month-5 severity (suppl.)V2_cluster12.929.746.183.170.403.561.390.940.291.00
      limbharmW5Landmark at 6 monthsV1_ignore14.767.356.187.410.121.161.320.970.001.00
      limbharmW5Landmark at 6 monthsV2_cluster14.767.356.187.410.121.161.320.970.001.00
      limbharmW5Landmark at 6 monthsV3_random14.847.356.187.490.121.161.340.970.001.00
      limbharmW5Landmark at 6 monthsV4_within14.907.356.187.550.151.161.610.970.001.00
      limbharmW5Sequential trials, ITTV1_ignore12.896.926.185.980.140.731.370.930.001.00
      limbharmW5Sequential trials, ITTV2_cluster12.896.926.185.980.140.731.370.930.001.00
      limbharmW5Sequential trials, ITTV3_random12.946.926.186.020.140.731.380.950.001.00
      limbharmW5Sequential trials, ITTV4_within12.966.926.186.040.160.731.610.970.021.00
      limbharmW5CCW, A vs B2V1_ignore11.736.246.185.490.250.062.541.130.541.00
      limbharmW5CCW, A vs B2V2_cluster11.736.246.185.490.250.062.541.130.531.00
      limbharmW5CCW, A vs B2V3_random11.766.246.185.520.260.062.591.120.571.00
      limbharmW5CCW, A vs B2V4_within11.876.246.185.630.310.063.091.090.630.98
      limbharmW5CCW, A vs B1 (reference)V1_ignore11.686.186.185.490.250.002.541.120.541.00
      limbharmW5CCW, A vs B1 (reference)V2_cluster11.686.186.185.490.250.002.541.130.521.00
      limbharmW5CCW, A vs B1 (reference)V3_random11.716.186.185.520.260.002.601.120.571.00
      limbharmW5CCW, A vs B1 (reference)V4_within11.826.186.185.630.310.003.091.090.630.98
      limbharmWENaive ‘ever early PVI’V1_ignore10.368.026.182.330.131.841.410.990.601.00
      limbharmWENaive ‘ever early PVI’V2_cluster10.368.026.182.330.131.841.410.990.591.00
      limbharmWENaive ‘ever early PVI’V3_random10.468.026.182.440.131.841.411.020.601.00
      limbharmWENaive ‘ever early PVI’V4_within10.008.026.181.970.161.841.641.070.831.00
      limbharmWELandmark, + month-5 severity (suppl.)V1_ignore9.149.486.18-0.340.463.301.450.950.941.00
      limbharmWELandmark, + month-5 severity (suppl.)V2_cluster9.149.486.18-0.340.463.301.450.940.941.00
      limbharmWELandmark at 6 monthsV1_ignore9.806.856.182.950.100.661.430.970.421.00
      limbharmWELandmark at 6 monthsV2_cluster9.806.856.182.950.100.661.430.960.401.00
      limbharmWELandmark at 6 monthsV3_random9.856.856.183.000.100.661.440.980.421.00
      limbharmWELandmark at 6 monthsV4_within9.706.856.182.850.150.661.691.030.651.00
      limbharmWESequential trials, ITTV1_ignore8.636.926.181.710.140.731.400.970.751.00
      limbharmWESequential trials, ITTV2_cluster8.636.926.181.710.140.731.400.960.761.00
      limbharmWESequential trials, ITTV3_random8.636.926.181.710.140.731.420.970.761.00
      limbharmWESequential trials, ITTV4_within8.516.926.181.590.160.731.641.000.851.00
      limbharmWECCW, A vs B2V1_ignore7.816.246.181.570.300.063.010.980.930.78
      limbharmWECCW, A vs B2V2_cluster7.816.246.181.570.300.063.010.980.940.78
      limbharmWECCW, A vs B2V3_random7.846.246.181.600.300.063.020.990.940.78
      limbharmWECCW, A vs B2V4_within7.846.246.181.600.330.063.281.050.950.68
      limbharmWECCW, A vs B1 (reference)V1_ignore7.766.186.181.570.300.003.010.980.930.78
      limbharmWECCW, A vs B1 (reference)V2_cluster7.766.186.181.570.300.003.010.980.930.78
      limbharmWECCW, A vs B1 (reference)V3_random7.796.186.181.600.300.003.020.990.940.78
      limbharmWECCW, A vs B1 (reference)V4_within7.786.186.181.590.330.003.291.050.950.68
      limbharmWRNaive ‘ever early PVI’V1_ignore21.1017.918.183.190.949.741.710.880.431.00
      limbharmWRNaive ‘ever early PVI’V2_cluster21.1017.918.183.190.949.741.711.060.591.00
      limbharmWRNaive ‘ever early PVI’V3_random20.0817.918.182.170.949.742.080.980.821.00
      limbharmWRNaive ‘ever early PVI’V4_within18.5417.918.180.630.979.742.320.990.931.00
      limbharmWRLandmark, + month-5 severity (suppl.)V1_ignore19.0816.998.182.091.048.811.800.870.711.00
      limbharmWRLandmark, + month-5 severity (suppl.)V2_cluster19.0816.998.182.091.048.811.801.030.831.00
      limbharmWRLandmark at 6 monthsV1_ignore20.759.388.1811.380.521.201.780.860.001.00
      limbharmWRLandmark at 6 monthsV2_cluster20.759.388.1811.380.521.201.781.030.001.00
      limbharmWRLandmark at 6 monthsV3_random19.159.388.189.770.511.202.031.000.001.00
      limbharmWRLandmark at 6 monthsV4_within18.539.388.189.150.511.202.311.010.011.00
      limbharmWRSequential trials, ITTV1_ignore19.299.058.1810.240.170.871.730.880.001.00
      limbharmWRSequential trials, ITTV2_cluster19.299.058.1810.240.170.871.731.050.001.00
      limbharmWRSequential trials, ITTV3_random17.399.058.188.350.200.871.991.010.001.00
      limbharmWRSequential trials, ITTV4_within16.609.058.187.550.230.872.310.970.061.00
      limbharmWRCCW, A vs B2V1_ignore16.298.348.187.950.410.164.140.850.421.00
      limbharmWRCCW, A vs B2V2_cluster16.298.348.187.950.410.164.140.880.421.00
      limbharmWRCCW, A vs B2V3_random15.688.348.187.340.410.164.081.060.651.00
      limbharmWRCCW, A vs B2V4_within15.518.348.187.160.450.164.461.090.730.96
      limbharmWRCCW, A vs B1 (reference)V1_ignore16.128.188.187.940.410.004.130.850.411.00
      limbharmWRCCW, A vs B1 (reference)V2_cluster16.128.188.187.940.410.004.130.880.421.00
      limbharmWRCCW, A vs B1 (reference)V3_random15.488.188.187.300.410.004.081.060.650.99
      limbharmWRCCW, A vs B1 (reference)V4_within15.148.188.186.960.450.004.471.090.730.95
      limbnullW0Naive ‘ever early PVI’V1_ignore1.011.160.00-0.150.071.161.330.980.920.06
      limbnullW0Naive ‘ever early PVI’V2_cluster1.011.160.00-0.150.071.161.330.980.910.06
      limbnullW0Naive ‘ever early PVI’V4_within0.531.160.00-0.630.111.161.680.960.860.06
      limbnullW0Landmark, + month-5 severity (suppl.)V1_ignore-0.11-0.290.000.180.06-0.291.201.000.950.07
      limbnullW0Landmark, + month-5 severity (suppl.)V2_cluster-0.11-0.290.000.180.06-0.291.201.000.950.08
      limbnullW0Landmark at 6 monthsV1_ignore-0.01-0.180.000.170.06-0.181.221.000.950.06
      limbnullW0Landmark at 6 monthsV2_cluster-0.01-0.180.000.170.06-0.181.220.990.950.07
      limbnullW0Landmark at 6 monthsV4_within-0.15-0.180.000.040.09-0.181.560.970.930.10
      limbnullW0Sequential trials, ITTV1_ignore0.050.000.000.050.120.001.200.970.940.06
      limbnullW0Sequential trials, ITTV2_cluster0.050.000.000.050.120.001.200.970.940.06
      limbnullW0Sequential trials, ITTV4_within-0.020.000.00-0.020.150.001.480.960.900.10
      limbnullW0CCW, A vs B2V1_ignore-0.350.000.00-0.350.270.002.750.910.920.08
      limbnullW0CCW, A vs B2V2_cluster-0.350.000.00-0.350.270.002.750.910.910.09
      limbnullW0CCW, A vs B2V4_within-0.150.000.00-0.150.340.003.430.900.880.12
      limbnullW0CCW, A vs B1 (reference)V1_ignore-0.350.000.00-0.350.270.002.750.910.920.08
      limbnullW0CCW, A vs B1 (reference)V2_cluster-0.350.000.00-0.350.270.002.750.910.910.09
      limbnullW0CCW, A vs B1 (reference)V4_within-0.140.000.00-0.140.340.003.430.900.880.12
      limbnullW1Naive ‘ever early PVI’V1_ignore0.951.170.00-0.220.081.171.381.000.930.06
      limbnullW1Naive ‘ever early PVI’V2_cluster0.951.170.00-0.220.081.171.380.990.930.06
      limbnullW1Naive ‘ever early PVI’V3_random1.111.170.00-0.070.071.171.440.980.930.09
      limbnullW1Naive ‘ever early PVI’V4_within0.501.170.00-0.670.131.171.701.010.900.06
      limbnullW1Landmark, + month-5 severity (suppl.)V1_ignore-0.26-0.410.000.150.06-0.411.061.150.980.04
      limbnullW1Landmark, + month-5 severity (suppl.)V2_cluster-0.26-0.410.000.150.06-0.411.061.140.980.03
      limbnullW1Landmark at 6 monthsV1_ignore-0.17-0.330.000.150.06-0.331.061.150.980.03
      limbnullW1Landmark at 6 monthsV2_cluster-0.17-0.330.000.150.06-0.331.061.150.980.02
      limbnullW1Landmark at 6 monthsV3_random-0.12-0.330.000.210.05-0.331.111.120.980.02
      limbnullW1Landmark at 6 monthsV4_within-0.25-0.330.000.080.10-0.331.481.070.960.04
      limbnullW1Sequential trials, ITTV1_ignore-0.150.000.00-0.150.100.001.031.130.980.02
      limbnullW1Sequential trials, ITTV2_cluster-0.150.000.00-0.150.100.001.031.120.980.02
      limbnullW1Sequential trials, ITTV3_random-0.160.000.00-0.160.110.001.071.100.980.02
      limbnullW1Sequential trials, ITTV4_within-0.190.000.00-0.190.140.001.371.060.960.04
      limbnullW1CCW, A vs B2V1_ignore0.080.000.000.080.300.003.040.890.880.12
      limbnullW1CCW, A vs B2V2_cluster0.080.000.000.080.300.003.040.890.890.11
      limbnullW1CCW, A vs B2V3_random0.100.000.000.100.310.003.120.880.900.10
      limbnullW1CCW, A vs B2V4_within0.360.000.000.360.390.003.900.870.890.11
      limbnullW1CCW, A vs B1 (reference)V1_ignore0.080.000.000.080.300.003.040.890.880.12
      limbnullW1CCW, A vs B1 (reference)V2_cluster0.080.000.000.080.300.003.040.890.900.10
      limbnullW1CCW, A vs B1 (reference)V3_random0.090.000.000.090.310.003.120.880.900.10
      limbnullW1CCW, A vs B1 (reference)V4_within0.360.000.000.360.390.003.900.870.890.11
      limbnullW1_rho0Naive ‘ever early PVI’V1_ignore0.810.940.00-0.140.070.941.261.040.930.06
      limbnullW1_rho0Naive ‘ever early PVI’V2_cluster0.810.940.00-0.140.070.941.261.030.940.06
      limbnullW1_rho0Naive ‘ever early PVI’V3_random0.930.940.00-0.020.060.941.360.990.950.07
      limbnullW1_rho0Naive ‘ever early PVI’V4_within0.320.940.00-0.630.110.941.581.020.900.06
      limbnullW1_rho0Landmark, + month-5 severity (suppl.)V1_ignore-0.36-0.520.000.170.06-0.521.091.080.970.05
      limbnullW1_rho0Landmark, + month-5 severity (suppl.)V2_cluster-0.36-0.520.000.170.06-0.521.091.070.970.04
      limbnullW1_rho0Landmark at 6 monthsV1_ignore-0.27-0.430.000.160.06-0.431.081.090.970.03
      limbnullW1_rho0Landmark at 6 monthsV2_cluster-0.27-0.430.000.160.06-0.431.081.090.970.02
      limbnullW1_rho0Landmark at 6 monthsV3_random-0.25-0.430.000.180.05-0.431.111.080.960.05
      limbnullW1_rho0Landmark at 6 monthsV4_within-0.48-0.430.00-0.050.09-0.431.391.060.940.07
      limbnullW1_rho0Sequential trials, ITTV1_ignore-0.180.000.00-0.180.110.001.151.000.920.08
      limbnullW1_rho0Sequential trials, ITTV2_cluster-0.180.000.00-0.180.110.001.151.000.940.06
      limbnullW1_rho0Sequential trials, ITTV3_random-0.210.000.00-0.210.120.001.180.990.920.08
      limbnullW1_rho0Sequential trials, ITTV4_within-0.300.000.00-0.300.140.001.391.010.920.08
      limbnullW1_rho0CCW, A vs B2V1_ignore-0.020.000.00-0.020.260.002.650.980.910.09
      limbnullW1_rho0CCW, A vs B2V2_cluster-0.020.000.00-0.020.260.002.650.980.910.09
      limbnullW1_rho0CCW, A vs B2V3_random-0.060.000.00-0.060.270.002.660.980.910.09
      limbnullW1_rho0CCW, A vs B2V4_within-0.190.000.00-0.190.300.002.971.040.910.09
      limbnullW1_rho0CCW, A vs B1 (reference)V1_ignore-0.020.000.00-0.020.260.002.650.980.910.09
      limbnullW1_rho0CCW, A vs B1 (reference)V2_cluster-0.020.000.00-0.020.260.002.650.980.910.09
      limbnullW1_rho0CCW, A vs B1 (reference)V3_random-0.060.000.00-0.060.270.002.660.980.910.09
      limbnullW1_rho0CCW, A vs B1 (reference)V4_within-0.180.000.00-0.180.300.002.971.040.910.09
      limbnullW2Naive ‘ever early PVI’V1_ignore1.6812.170.00-10.491.1012.171.401.020.000.12
      limbnullW2Naive ‘ever early PVI’V2_cluster1.6812.170.00-10.491.1012.171.401.020.000.14
      limbnullW2Naive ‘ever early PVI’V3_random3.0412.170.00-9.131.0712.172.421.100.070.19
      limbnullW2Naive ‘ever early PVI’V4_within0.4812.170.00-11.691.1612.172.900.940.020.04
      limbnullW2Landmark, + month-5 severity (suppl.)V1_ignore0.400.050.000.350.340.051.300.980.940.05
      limbnullW2Landmark, + month-5 severity (suppl.)V2_cluster0.400.050.000.350.340.051.300.980.940.04
      limbnullW2Landmark at 6 monthsV1_ignore0.470.130.000.340.340.131.320.970.940.04
      limbnullW2Landmark at 6 monthsV2_cluster0.470.130.000.340.340.131.320.970.930.05
      limbnullW2Landmark at 6 monthsV3_random0.170.130.000.050.310.132.021.000.960.02
      limbnullW2Landmark at 6 monthsV4_within-0.350.130.00-0.480.350.132.870.880.880.10
      limbnullW2Sequential trials, ITTV1_ignore0.550.000.000.550.130.001.270.970.950.05
      limbnullW2Sequential trials, ITTV2_cluster0.550.000.000.550.130.001.270.970.950.05
      limbnullW2Sequential trials, ITTV3_random0.110.000.000.110.160.001.650.990.970.03
      limbnullW2Sequential trials, ITTV4_within-0.150.000.00-0.150.190.001.940.910.920.08
      limbnullW2CCW, A vs B2V1_ignore0.650.000.000.650.300.002.961.020.930.07
      limbnullW2CCW, A vs B2V2_cluster0.650.000.000.650.300.002.961.010.940.06
      limbnullW2CCW, A vs B2V3_random0.770.000.000.770.540.005.420.750.910.09
      limbnullW2CCW, A vs B2V4_within0.500.000.000.500.650.006.530.650.920.08
      limbnullW2CCW, A vs B1 (reference)V1_ignore0.650.000.000.650.300.002.961.020.930.07
      limbnullW2CCW, A vs B1 (reference)V2_cluster0.650.000.000.650.300.002.961.010.940.06
      limbnullW2CCW, A vs B1 (reference)V3_random0.770.000.000.770.540.005.420.760.910.09
      limbnullW2CCW, A vs B1 (reference)V4_within0.500.000.000.500.650.006.530.650.900.10
      limbnullW3Naive ‘ever early PVI’V1_ignore2.4910.140.00-7.650.7710.141.620.880.010.45
      limbnullW3Naive ‘ever early PVI’V2_cluster2.4910.140.00-7.650.7710.141.620.870.010.44
      limbnullW3Naive ‘ever early PVI’V3_random2.9810.140.00-7.160.7310.142.440.960.150.24
      limbnullW3Naive ‘ever early PVI’V4_within0.2510.140.00-9.890.7910.142.390.950.050.08
      limbnullW3Landmark, + month-5 severity (suppl.)V1_ignore1.140.020.001.130.370.021.460.880.840.17
      limbnullW3Landmark, + month-5 severity (suppl.)V2_cluster1.140.020.001.130.370.021.460.870.820.18
      limbnullW3Landmark at 6 monthsV1_ignore1.200.090.001.110.370.091.470.880.850.18
      limbnullW3Landmark at 6 monthsV2_cluster1.200.090.001.110.370.091.470.870.820.17
      limbnullW3Landmark at 6 monthsV3_random0.220.090.000.130.330.091.920.900.910.08
      limbnullW3Landmark at 6 monthsV4_within-0.610.090.00-0.700.340.092.260.900.840.14
      limbnullW3Sequential trials, ITTV1_ignore1.330.000.001.330.140.001.430.870.750.25
      limbnullW3Sequential trials, ITTV2_cluster1.330.000.001.330.140.001.430.860.760.24
      limbnullW3Sequential trials, ITTV3_random0.240.000.000.240.190.001.890.850.910.09
      limbnullW3Sequential trials, ITTV4_within-0.230.000.00-0.230.210.002.110.850.880.12
      limbnullW3CCW, A vs B2V1_ignore0.650.000.000.650.310.003.120.920.930.07
      limbnullW3CCW, A vs B2V2_cluster0.650.000.000.650.310.003.120.930.930.07
      limbnullW3CCW, A vs B2V3_random-0.020.000.00-0.020.390.003.930.880.840.16
      limbnullW3CCW, A vs B2V4_within-0.540.000.00-0.540.410.004.120.930.830.17
      limbnullW3CCW, A vs B1 (reference)V1_ignore0.640.000.000.640.310.003.120.920.930.07
      limbnullW3CCW, A vs B1 (reference)V2_cluster0.640.000.000.640.310.003.120.930.930.07
      limbnullW3CCW, A vs B1 (reference)V3_random-0.040.000.00-0.040.390.003.930.890.840.16
      limbnullW3CCW, A vs B1 (reference)V4_within-0.550.000.00-0.550.410.004.100.930.830.17
      limbnullW4Naive ‘ever early PVI’V1_ignore1.061.460.00-0.400.081.461.380.980.910.08
      limbnullW4Naive ‘ever early PVI’V2_cluster1.061.460.00-0.400.081.461.380.980.890.08
      limbnullW4Naive ‘ever early PVI’V4_within0.611.460.00-0.850.131.461.680.990.840.04
      limbnullW4Landmark, + month-5 severity (suppl.)V1_ignore0.010.010.00-0.000.070.011.231.000.980.02
      limbnullW4Landmark, + month-5 severity (suppl.)V2_cluster0.010.010.00-0.000.070.011.231.000.970.03
      limbnullW4Landmark at 6 monthsV1_ignore0.080.080.00-0.000.060.081.241.000.980.02
      limbnullW4Landmark at 6 monthsV2_cluster0.080.080.00-0.000.060.081.241.000.970.02
      limbnullW4Landmark at 6 monthsV4_within-0.010.080.00-0.090.100.081.571.000.950.04
      limbnullW4Sequential trials, ITTV1_ignore0.130.000.000.130.120.001.161.020.970.03
      limbnullW4Sequential trials, ITTV2_cluster0.130.000.000.130.120.001.161.020.970.03
      limbnullW4Sequential trials, ITTV4_within0.070.000.000.070.140.001.391.050.980.02
      limbnullW4CCW, A vs B2V1_ignore0.140.000.000.140.250.002.461.050.970.03
      limbnullW4CCW, A vs B2V2_cluster0.140.000.000.140.250.002.461.050.960.04
      limbnullW4CCW, A vs B2V4_within0.180.000.000.180.310.003.101.050.930.07
      limbnullW4CCW, A vs B1 (reference)V1_ignore0.190.000.000.190.250.002.481.040.970.03
      limbnullW4CCW, A vs B1 (reference)V2_cluster0.190.000.000.190.250.002.481.040.970.03
      limbnullW4CCW, A vs B1 (reference)V4_within0.240.000.000.240.300.003.001.070.930.07
      limbnullW5Naive ‘ever early PVI’V1_ignore6.001.110.004.880.131.111.021.090.001.00
      limbnullW5Naive ‘ever early PVI’V2_cluster6.001.110.004.880.131.111.021.090.001.00
      limbnullW5Naive ‘ever early PVI’V3_random6.071.110.004.950.131.111.051.080.001.00
      limbnullW5Naive ‘ever early PVI’V4_within5.731.110.004.610.151.111.271.080.021.00
      limbnullW5Landmark, + month-5 severity (suppl.)V1_ignore3.51-0.450.003.970.09-0.451.041.100.030.94
      limbnullW5Landmark, + month-5 severity (suppl.)V2_cluster3.51-0.450.003.970.09-0.451.041.090.030.94
      limbnullW5Landmark at 6 monthsV1_ignore5.30-0.370.005.670.10-0.370.961.150.001.00
      limbnullW5Landmark at 6 monthsV2_cluster5.30-0.370.005.670.10-0.370.961.140.001.00
      limbnullW5Landmark at 6 monthsV3_random5.33-0.370.005.700.10-0.370.981.140.001.00
      limbnullW5Landmark at 6 monthsV4_within5.33-0.370.005.700.11-0.371.211.130.001.00
      limbnullW5Sequential trials, ITTV1_ignore4.280.000.004.280.090.000.941.170.010.99
      limbnullW5Sequential trials, ITTV2_cluster4.280.000.004.280.090.000.941.160.010.99
      limbnullW5Sequential trials, ITTV3_random4.290.000.004.290.100.000.971.160.020.98
      limbnullW5Sequential trials, ITTV4_within4.270.000.004.270.120.001.201.130.060.94
      limbnullW5CCW, A vs B2V1_ignore3.610.000.003.610.250.002.520.960.690.31
      limbnullW5CCW, A vs B2V2_cluster3.610.000.003.610.250.002.520.950.690.31
      limbnullW5CCW, A vs B2V3_random3.630.000.003.630.260.002.580.950.710.29
      limbnullW5CCW, A vs B2V4_within3.580.000.003.580.300.003.030.970.760.24
      limbnullW5CCW, A vs B1 (reference)V1_ignore3.610.000.003.610.250.002.520.960.690.31
      limbnullW5CCW, A vs B1 (reference)V2_cluster3.610.000.003.610.250.002.520.950.690.31
      limbnullW5CCW, A vs B1 (reference)V3_random3.630.000.003.630.260.002.580.950.710.29
      limbnullW5CCW, A vs B1 (reference)V4_within3.580.000.003.580.300.003.030.970.760.24
      limbnullWENaive ‘ever early PVI’V1_ignore2.811.170.001.640.101.171.240.980.710.65
      limbnullWENaive ‘ever early PVI’V2_cluster2.811.170.001.640.101.171.240.990.720.62
      limbnullWENaive ‘ever early PVI’V3_random2.861.170.001.690.101.171.231.010.730.63
      limbnullWENaive ‘ever early PVI’V4_within2.321.170.001.150.131.171.331.130.940.36
      limbnullWELandmark, + month-5 severity (suppl.)V1_ignore1.17-0.100.001.280.08-0.101.200.980.860.13
      limbnullWELandmark, + month-5 severity (suppl.)V2_cluster1.17-0.100.001.280.08-0.101.200.990.860.13
      limbnullWELandmark at 6 monthsV1_ignore2.05-0.020.002.070.09-0.021.180.990.610.39
      limbnullWELandmark at 6 monthsV2_cluster2.05-0.020.002.070.09-0.021.181.000.600.40
      limbnullWELandmark at 6 monthsV3_random2.07-0.020.002.080.09-0.021.171.030.580.42
      limbnullWELandmark at 6 monthsV4_within1.84-0.020.001.860.13-0.021.371.070.780.22
      limbnullWESequential trials, ITTV1_ignore1.500.000.001.500.120.001.161.000.770.23
      limbnullWESequential trials, ITTV2_cluster1.500.000.001.500.120.001.161.010.770.23
      limbnullWESequential trials, ITTV3_random1.480.000.001.480.120.001.161.030.780.22
      limbnullWESequential trials, ITTV4_within1.360.000.001.360.130.001.311.090.870.13
      limbnullWECCW, A vs B2V1_ignore1.160.000.001.160.250.002.511.020.960.04
      limbnullWECCW, A vs B2V2_cluster1.160.000.001.160.250.002.511.020.960.04
      limbnullWECCW, A vs B2V3_random1.110.000.001.110.260.002.571.000.960.04
      limbnullWECCW, A vs B2V4_within0.980.000.000.980.310.003.090.980.940.06
      limbnullWECCW, A vs B1 (reference)V1_ignore1.160.000.001.160.250.002.501.020.960.04
      limbnullWECCW, A vs B1 (reference)V2_cluster1.160.000.001.160.250.002.501.020.960.04
      limbnullWECCW, A vs B1 (reference)V3_random1.110.000.001.110.260.002.571.010.960.04
      limbnullWECCW, A vs B1 (reference)V4_within0.980.000.000.980.310.003.090.980.940.06
      limbnullWRNaive ‘ever early PVI’V1_ignore6.5510.090.00-3.530.8010.091.400.900.251.00
      limbnullWRNaive ‘ever early PVI’V2_cluster6.5510.090.00-3.530.8010.091.400.890.250.99
      limbnullWRNaive ‘ever early PVI’V3_random7.2210.090.00-2.870.7810.091.750.970.580.99
      limbnullWRNaive ‘ever early PVI’V4_within5.7510.090.00-4.330.8110.091.851.000.380.89
      limbnullWRLandmark, + month-5 severity (suppl.)V1_ignore4.260.020.004.230.430.021.420.890.080.92
      limbnullWRLandmark, + month-5 severity (suppl.)V2_cluster4.260.020.004.230.430.021.420.880.080.92
      limbnullWRLandmark at 6 monthsV1_ignore5.650.070.005.580.430.071.360.910.020.98
      limbnullWRLandmark at 6 monthsV2_cluster5.650.070.005.580.430.071.360.900.020.99
      limbnullWRLandmark at 6 monthsV3_random5.550.070.005.480.410.071.630.970.060.94
      limbnullWRLandmark at 6 monthsV4_within5.270.070.005.200.420.071.831.000.170.83
      limbnullWRSequential trials, ITTV1_ignore4.940.000.004.940.130.001.340.910.020.98
      limbnullWRSequential trials, ITTV2_cluster4.940.000.004.940.130.001.340.900.020.98
      limbnullWRSequential trials, ITTV3_random4.630.000.004.630.150.001.521.030.140.86
      limbnullWRSequential trials, ITTV4_within4.330.000.004.330.170.001.671.060.240.76
      limbnullWRCCW, A vs B2V1_ignore3.770.000.003.770.290.002.900.980.820.18
      limbnullWRCCW, A vs B2V2_cluster3.770.000.003.770.290.002.900.980.790.21
      limbnullWRCCW, A vs B2V3_random3.690.000.003.690.360.003.560.940.860.14
      limbnullWRCCW, A vs B2V4_within3.380.000.003.380.360.003.640.990.920.08
      limbnullWRCCW, A vs B1 (reference)V1_ignore3.710.000.003.710.290.002.910.970.820.18
      limbnullWRCCW, A vs B1 (reference)V2_cluster3.710.000.003.710.290.002.910.970.800.20
      limbnullWRCCW, A vs B1 (reference)V3_random3.620.000.003.620.360.003.570.940.880.12
      limbnullWRCCW, A vs B1 (reference)V4_within3.250.000.003.250.370.003.660.980.920.08
      male benefit_harm W0 benefit_harm W0 Naive ‘ever early PVI’V3_random20.5420.5917.36-0.040.093.231.741.110.971.00
      malebenefit_harmW0Naive ‘ever early PVI’ V4_within 19.70 20.59 0.90 1.00
      male benefit_harm W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 21.06 20.76 0.91 0.99
      male benefit_harm W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 21.06 20.76 0.92 0.99
      malebenefit_harmW0Landmark at 6 monthsV1_ignore19.7919.6517.360.140.092.301.661.150.981.00
      male benefit_harm W0 Landmark at 6 monthsV3_random21.0320.76V2_cluster19.7919.65 17.360.270.243.405.920.900.920.140.092.301.661.15 0.991.00
      male W0 Landmark at 6 months V4_within20.9720.7619.2319.65 17.360.210.603.408.370.840.900.90-0.420.172.302.450.980.931.00
      male benefit_harm W0 Sequential trials, ITTV3_random19.4419.2717.360.170.171.911.731.060.971.00
      malebenefit_harmW0Sequential trials, ITT V4_within 18.97 19.27 0.94 1.00
      male benefit_harm W0 0.92 1.00
      male benefit_harm W0 0.92 1.00
      malebenefit_harmW0CCW, A vs B2V3_random17.7117.5517.360.150.440.194.390.930.911.00
      male benefit_harm benefit_harm W0 CCW, A vs B1 (reference)V3_random17.5217.3617.360.160.440.004.400.930.911.00
      malebenefit_harmW0CCW, A vs B1 (reference) V4_within 17.37 17.36 0.93 0.98
      male benefit_harm W1 0.82 1.00
      male benefit_harm W1 0.85 1.00
      male benefit_harm W1 0.90 1.00
      male benefit_harm W1 0.96 1.00
      male benefit_harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 25.57 21.61 0.85 0.98
      male benefit_harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 25.57 21.61 0.86 0.98
      malebenefit_harmW1Landmark at 6 monthsV1_ignore24.5722.0619.952.510.132.112.240.890.761.00
      male benefit_harm W1 Landmark at 6 monthsV3_random25.3621.61V2_cluster24.5722.06 19.953.740.261.676.300.900.862.510.132.112.24 0.980.821.00
      male benefit_harm W1 Landmark at 6 monthsV4_within23.7021.61V3_random24.0322.06 19.952.090.591.678.400.850.900.911.970.102.112.161.000.871.00
      male benefit_harm W1Landmark at 6 monthsV4_within22.8022.0619.950.740.142.112.541.040.941.00
      malebenefit_harmW1 Sequential trials, ITT V1_ignore 24.20 0.74 1.00
      male benefit_harm W1 0.80 1.00
      male benefit_harm W1 0.88 1.00
      male benefit_harm W1 0.94 1.00
      male benefit_harm W1 0.85 1.00
      male benefit_harm W1 0.87 1.00
      male benefit_harm W1 0.88 1.00
      male benefit_harm W1 0.87 1.00
      male benefit_harm W1 0.85 1.00
      male benefit_harm W1 0.87 1.00
      male benefit_harm W1 0.88 1.00
      male benefit_harm W1 0.87 0.99
      male benefit_harm W1_rho0 0.93 1.00
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.96 1.00
      male benefit_harm W1_rho0 0.94 1.00
      male benefit_harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 25.30 23.91 0.93 1.00
      male benefit_harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 25.30 23.91 0.94 1.00
      malebenefit_harmW1_rho0Landmark at 6 monthsV1_ignore23.2623.3420.65-0.090.122.691.931.020.961.00
      male benefit_harm W1_rho0 Landmark at 6 monthsV3_random25.1923.91V2_cluster23.2623.34 20.651.280.283.256.000.930.92-0.090.122.691.931.120.97 1.00
      benefit_harm W1_rho0 Landmark at 6 monthsV4_within23.4723.91V3_random23.3923.34 20.65-0.440.643.258.290.910.910.890.040.092.691.961.100.971.00
      male benefit_harm W1_rho0Landmark at 6 monthsV4_within23.1323.3420.65-0.210.142.692.601.040.941.00
      malebenefit_harmW1_rho0 Sequential trials, ITT V1_ignore 22.93 0.96 1.00
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.94 1.00
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.94 1.00
      male benefit_harm W1_rho0 0.94 0.99
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.98 1.00
      male benefit_harm W1_rho0 0.94 1.00
      male benefit_harm W1_rho0 0.94 0.99
      male benefit_harm W2 0.23 1.00
      male benefit_harm W2 0.22 1.00
      male benefit_harm W2 0.53 1.00
      male benefit_harm W2 0.42 1.00
      male benefit_harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 21.61 18.83 0.94 0.98
      male benefit_harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 21.61 18.83 0.92 0.99
      malebenefit_harmW2Landmark at 6 monthsV1_ignore20.7618.7717.961.990.570.811.940.990.811.00
      male benefit_harm W2 Landmark at 6 monthsV3_random22.0918.83V2_cluster20.7618.77 17.963.261.010.875.511.050.920.971.990.570.811.940.980.821.00
      male benefit_harm W2 Landmark at 6 monthsV4_within21.1718.83V3_random20.0718.77 17.962.341.150.878.190.920.920.891.300.540.812.900.980.941.00
      male benefit_harm W2Landmark at 6 monthsV4_within19.0418.7717.960.270.560.813.540.980.930.99
      malebenefit_harmW2 Sequential trials, ITT V1_ignore 20.53 0.94 1.00
      male benefit_harm W2 0.94 1.00
      male benefit_harm W2 0.92 1.00
      male benefit_harm W2 0.91 1.00
      male benefit_harm W2 0.96 1.00
      male benefit_harm W2 0.96 1.00
      male benefit_harm W2 0.90 0.96
      male benefit_harm W2 0.90 0.91
      male benefit_harm W2 0.97 1.00
      male benefit_harm W2 0.96 1.00
      male benefit_harm W2 0.90 0.96
      male benefit_harm W2 0.91 0.89
      male benefit_harm W3 0.80 1.00
      male benefit_harm W3 0.83 1.00
      male benefit_harm W3 0.76 1.00
      male benefit_harm W3 0.44 0.99
      male benefit_harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 21.76 14.64 0.80 0.98
      male benefit_harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 21.76 14.64 0.78 0.98
      malebenefit_harmW3Landmark at 6 monthsV1_ignore22.4212.8111.269.610.501.552.310.840.011.00
      male benefit_harm W3 Landmark at 6 monthsV3_random19.7314.64V2_cluster22.4212.81 11.265.090.723.385.999.610.501.552.31 0.920.840.970.011.00
      male benefit_harm W3 Landmark at 6 monthsV4_within17.6814.64V3_random16.6212.81 11.263.030.843.389.040.760.850.743.810.441.552.790.980.701.00
      male benefit_harm W3Landmark at 6 monthsV4_within14.8812.8111.262.070.471.553.420.970.910.99
      malebenefit_harmW3 Sequential trials, ITT V1_ignore 22.17 0.00 1.00
      male benefit_harm W3 0.00 1.00
      male benefit_harm W3 0.68 1.00
      male benefit_harm W3 0.88 1.00
      male benefit_harm W3 0.65 1.00
      male benefit_harm W3 0.64 1.00
      male benefit_harm W3 0.86 0.84
      male benefit_harm W3 0.87 0.70
      male benefit_harm W3 0.64 1.00
      male benefit_harm W3 0.64 1.00
      male benefit_harm W3 0.86 0.81
      male benefit_harm W3 0.88 0.66
      male benefit_harm W4 0.95 1.00
      male benefit_harm W4 0.94 1.00
      malebenefit_harmW4Naive ‘ever early PVI’V3_random19.3719.5116.42-0.140.093.101.811.080.961.00
      male benefit_harm male benefit_harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 19.24 19.15 male benefit_harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 19.24 19.15 benefit_harm W4 Landmark at 6 monthsV3_random19.1819.15V1_ignore18.4818.47 16.420.030.212.735.530.950.930.010.102.051.801.06 0.991.00
      male benefit_harm W4 Landmark at 6 monthsV4_within17.5919.15V2_cluster18.4818.47 16.42-1.560.512.738.200.840.870.780.010.102.051.801.060.981.00
      male benefit_harm W4Landmark at 6 monthsV4_within18.2618.4716.42-0.210.152.052.371.030.941.00
      malebenefit_harmW4 Sequential trials, ITT V1_ignore 18.28 0.95 1.00
      male benefit_harm W4 0.96 1.00
      malebenefit_harmW4Sequential trials, ITTV3_random18.2918.3416.42-0.050.181.921.781.050.971.00
      male benefit_harm benefit_harm W4 CCW, A vs B2V3_random16.9517.5016.42-0.550.391.083.911.030.931.00
      malebenefit_harmW4CCW, A vs B2 V4_within 16.52 17.50 0.91 0.97
      male benefit_harm W4 0.93 1.00
      male benefit_harm W4 0.93 1.00
      malebenefit_harmW4CCW, A vs B1 (reference)V3_random15.8616.4216.42-0.560.390.003.901.040.931.00
      male benefit_harm male benefit_harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 27.21 21.13 male benefit_harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 27.21 21.13 benefit_harm W5 Landmark at 6 monthsV3_random27.1721.13V1_ignore26.7619.71 17.366.040.583.771.447.050.192.351.391.010.001.00
      malebenefit_harmW5Landmark at 6 monthsV2_cluster26.7619.7117.367.050.192.351.391.010.001.00
      malebenefit_harmW5Landmark at 6 monthsV3_random26.7319.7117.367.010.182.351.42 1.01 0.00 1.00 W5 Landmark at 6 months V4_within27.0721.1326.6219.71 17.365.940.613.776.910.192.35 1.800.970.090.960.03 1.00
      male benefit_harmWENaive ‘ever early PVI’V1_ignore22.5820.3017.362.290.132.941.561.070.721.00
      malebenefit_harmWENaive ‘ever early PVI’V2_cluster22.5820.3017.362.290.132.941.561.070.731.00
      malebenefit_harmWENaive ‘ever early PVI’V3_random22.7020.3017.362.410.132.941.651.030.701.00
      malebenefit_harmWENaive ‘ever early PVI’V4_within22.2120.3017.361.920.152.942.110.970.831.00
      malebenefit_harmWELandmark, + month-5 severity (suppl.)V1_ignore25.1720.1517.365.010.702.794.221.050.851.00
      malebenefit_harmWELandmark, + month-5 severity (suppl.)V2_cluster25.1720.1517.365.010.702.794.221.050.851.00
      malebenefit_harmWELandmark at 6 monthsV1_ignore22.1919.4217.362.770.132.061.561.080.651.00
      malebenefit_harmWELandmark at 6 monthsV2_cluster22.1919.4217.362.770.132.061.561.080.641.00
      malebenefit_harmWELandmark at 6 monthsV3_random22.2619.4217.362.840.132.061.631.050.651.00
      malebenefit_harmWELandmark at 6 monthsV4_within22.0519.4217.362.630.152.062.120.980.791.00
      malebenefit_harmWESequential trials, ITTV1_ignore21.0019.2717.361.740.171.911.661.010.811.00
      malebenefit_harmWESequential trials, ITTV2_cluster21.0019.2717.361.740.171.911.661.010.811.00
      malebenefit_harmWESequential trials, ITTV3_random21.0119.2717.361.740.171.911.730.990.801.00
      malebenefit_harmWESequential trials, ITTV4_within20.7719.2717.361.510.221.912.170.930.861.00
      malebenefit_harmWECCW, A vs B2V1_ignore19.2817.5517.361.730.340.193.381.100.931.00
      malebenefit_harmWECCW, A vs B2V2_cluster19.2817.5517.361.730.340.193.381.100.941.00
      malebenefit_harmWECCW, A vs B2V3_random19.3317.5517.361.780.350.193.521.070.941.00
      malebenefit_harmWECCW, A vs B2V4_within19.1717.5517.361.610.450.194.490.990.931.00
      malebenefit_harmWECCW, A vs B1 (reference)V1_ignore19.1017.3617.361.740.340.003.371.100.931.00
      malebenefit_harmWECCW, A vs B1 (reference)V2_cluster19.1017.3617.361.740.340.003.371.110.941.00
      malebenefit_harmWECCW, A vs B1 (reference)V3_random19.1417.3617.361.790.350.003.521.070.941.00
      malebenefit_harmWECCW, A vs B1 (reference)V4_within18.9617.3617.361.610.450.004.490.990.931.00
      malebenefit_harm WR Naive ‘ever early PVI’ V1_ignore male benefit_harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 34.42 17.84 male benefit_harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 34.42 17.84 benefit_harm WR Landmark at 6 monthsV3_random28.3117.84V1_ignore33.9415.76 13.7310.481.094.112.101.0918.180.572.032.250.720.001.00
      malebenefit_harmWRLandmark at 6 monthsV2_cluster33.9415.7613.7318.180.572.032.251.040.001.00
      malebenefit_harmWRLandmark at 6 monthsV3_random27.8815.7613.7312.120.512.032.121.06 0.00 1.00
      WR Landmark at 6 months V4_within27.2017.8426.7815.76 13.739.361.104.112.341.110.0111.020.522.032.351.090.00 1.00
      harm W0 Naive ‘ever early PVI’V3_random23.2723.3320.68-0.070.082.662.040.970.941.00
      maleharmW0Naive ‘ever early PVI’ V4_within 22.58 23.33 0.93 1.00
      male harm W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 24.73 24.67 0.97 1.00
      male harm W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 24.73 24.67 0.97 1.00
      maleharmW0Landmark at 6 monthsV1_ignore22.2922.2820.680.010.091.601.990.980.931.00
      male harm W0 Landmark at 6 monthsV3_random24.6724.67V2_cluster22.2922.28 20.680.000.194.004.840.960.960.010.091.601.990.980.93 1.00
      W0 Landmark at 6 months V4_within24.1724.6721.9522.28 20.68-0.500.384.006.490.890.920.96-0.320.151.602.511.000.951.00
      male harm W0 Sequential trials, ITTV3_random22.1622.2320.68-0.070.201.552.010.950.941.00
      maleharmW0Sequential trials, ITT V4_within 21.81 22.23 0.93 1.00
      male harm W0 0.95 1.00
      male harm W0 0.92 1.00
      maleharmW0CCW, A vs B2V3_random21.2320.9820.680.250.450.304.540.950.961.00
      male harm harm W0 CCW, A vs B1 (reference)V3_random20.9420.6820.680.260.450.004.540.950.961.00
      maleharmW0CCW, A vs B1 (reference) V4_within 21.08 20.68 0.91 1.00
      male harm W1 0.95 1.00
      male harm W1 0.95 1.00
      male harm W1 0.97 1.00
      male harm W1 0.95 1.00
      male harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 41.61 37.41 0.88 0.99
      male harm W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 41.61 37.41 0.88 0.99
      maleharmW1Landmark at 6 monthsV1_ignore25.2723.8321.551.440.112.281.851.100.941.00
      male harm W1 Landmark at 6 monthsV3_random40.3737.41V2_cluster25.2723.83 21.552.960.2915.8710.370.610.860.991.440.112.281.851.150.941.00
      male harm W1 Landmark at 6 monthsV4_within38.7137.41V3_random24.9523.83 21.551.300.4915.8711.360.620.831.120.092.281.911.110.95 1.00
      male harm W1Landmark at 6 monthsV4_within23.9923.8321.550.160.172.282.661.000.951.00
      maleharmW1 Sequential trials, ITT V1_ignore 25.03 0.89 1.00
      male harm W1 0.92 1.00
      male harm W1 0.94 1.00
      male harm W1 0.95 1.00
      male harm W1 0.92 1.00
      male harm W1 0.91 1.00
      male harm W1 0.92 1.00
      male harm W1 0.91 0.99
      male harm W1 0.92 1.00
      male harm W1 0.91 1.00
      male harm W1 0.92 1.00
      male harm W1 0.91 0.99
      male harm W1_rho0 0.99 1.00
      male harm W1_rho0 0.99 1.00
      male harm W1_rho0 0.99 1.00
      male harm W1_rho0 0.97 1.00
      male harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 39.19 37.80 0.83 0.99
      male harm W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 39.19 37.80 0.84 0.99
      maleharmW1_rho0Landmark at 6 monthsV1_ignore24.0824.1922.33-0.100.101.861.821.100.991.00
      male harm W1_rho0 Landmark at 6 monthsV3_random38.7537.80V2_cluster24.0824.19 22.330.950.2615.4710.060.660.83-0.100.101.861.821.14 0.991.00
      male harm W1_rho0 Landmark at 6 monthsV4_within38.0237.80V3_random24.2024.19 22.330.220.5415.4711.710.650.800.010.091.861.871.120.98 1.00
      male harm W1_rho0Landmark at 6 monthsV4_within23.6924.1922.33-0.500.171.862.441.080.981.00
      maleharmW1_rho0 Sequential trials, ITT V1_ignore 23.90 0.99 1.00
      male harm W1_rho0 0.99 1.00
      male harm W1_rho0 0.98 1.00
      male harm W1_rho0 0.99 1.00
      male harm W1_rho0 0.92 1.00
      male harm W1_rho0 0.93 1.00
      male harm W1_rho0 0.92 1.00
      male harm W1_rho0 0.91 1.00
      male harm W1_rho0 0.92 1.00
      male harm W1_rho0 0.92 1.00
      male harm W1_rho0 0.92 1.00
      male harm W1_rho0 0.91 1.00
      male harm W2 0.07 1.00
      male harm W2 0.07 1.00
      male harm W2 0.32 1.00
      male harm W2 0.24 1.00
      male harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 25.59 26.09 0.90 0.99
      male harm W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 25.59 26.09 0.88 0.99
      maleharmW2Landmark at 6 monthsV1_ignore23.5822.4621.281.120.531.172.090.940.931.00
      male harm W2 Landmark at 6 monthsV3_random25.1126.09V2_cluster23.5822.46 21.28-0.980.794.816.760.840.870.981.120.531.172.090.950.931.00
      male harm W2 Landmark at 6 monthsV4_within23.8026.09V3_random23.1622.46 21.28-2.290.844.818.400.800.810.930.710.461.172.661.080.971.00
      male harm W2Landmark at 6 monthsV4_within22.0222.4621.28-0.440.471.173.331.050.961.00
      maleharmW2 Sequential trials, ITT V1_ignore 23.45 0.93 1.00
      male harm W2 0.92 1.00
      male harm W2 0.98 1.00
      male harm W2 0.94 1.00
      male harm W2 0.92 1.00
      male harm W2 0.90 1.00
      male harm W2 0.88 0.97
      male harm W2 0.92 0.91
      male harm W2 0.91 1.00
      male harm W2 0.92 1.00
      male harm W2 0.87 0.97
      male harm W2 0.92 0.90
      male harm W3 0.67 1.00
      male harm W3 0.70 1.00
      male harm W3 0.87 1.00
      male harm W3 0.58 1.00
      male harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 26.39 16.51 0.40 1.00
      male harm W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 26.39 16.51 0.38 1.00
      maleharmW3Landmark at 6 monthsV1_ignore24.4914.8414.239.650.450.622.250.900.011.00
      male harm W3 Landmark at 6 monthsV3_random20.3916.51V2_cluster24.4914.84 14.233.880.592.285.750.880.830.989.650.450.622.250.950.021.00
      male harm W3 Landmark at 6 monthsV4_within18.2616.51V3_random18.5314.84 14.231.750.642.286.870.850.900.883.680.410.622.671.000.671.00
      male harm W3Landmark at 6 monthsV4_within16.6214.8414.231.770.420.623.181.000.941.00
      maleharmW3 Sequential trials, ITT V1_ignore 24.40 0.00 1.00
      male harm W3 0.01 1.00
      male harm W3 0.72 1.00
      male harm W3 0.91 1.00
      male harm W3 0.57 1.00
      male harm W3 0.59 1.00
      male harm W3 0.92 0.93
      male harm W3 0.92 0.86
      male harm W3 0.57 1.00
      male harm W3 0.59 1.00
      male harm W3 0.92 0.93
      male harm W3 0.90 0.83
      male harm W4 0.94 1.00
      male harm W4 0.93 1.00
      maleharmW4Naive ‘ever early PVI’V3_random21.4621.4618.95-0.000.082.512.050.970.921.00
      male harm male harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 22.73 22.70 male harm W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 22.73 22.70 harm W4 Landmark at 6 monthsV3_random22.8322.70V1_ignore20.5120.35 18.950.130.223.754.920.980.920.990.160.101.401.951.000.941.00
      male harm W4 Landmark at 6 monthsV2_cluster20.5120.3518.950.160.101.401.950.990.941.00
      maleharmW4Landmark at 6 months V4_within22.4922.7019.8120.35 18.95-0.220.413.756.650.93-0.550.161.402.75 0.910.980.911.00
      male harm W4 0.96 1.00
      male harm W4 0.96 1.00
      maleharmW4Sequential trials, ITTV3_random20.3620.5318.95-0.170.201.582.000.940.961.00
      male harm harm W4 CCW, A vs B2V3_random20.9620.9318.950.030.421.984.251.020.941.00
      maleharmW4CCW, A vs B2 V4_within 20.84 20.93 0.95 1.00
      male harm W4 0.94 0.99
      male harm W4 0.93 0.99
      maleharmW4CCW, A vs B1 (reference)V3_random18.9918.9518.950.040.430.004.261.020.941.00
      male harm male harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 28.38 24.51 male harm W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 28.38 24.51 harm W5 Landmark at 6 monthsV3_random28.4424.51V1_ignore30.1322.64 20.683.930.463.831.511.030.237.490.161.971.411.020.001.00
      maleharmW5Landmark at 6 monthsV2_cluster30.1322.6420.687.490.161.971.411.020.001.00
      maleharmW5Landmark at 6 monthsV3_random30.1922.6420.687.550.151.971.391.060.00 1.00
      W5 Landmark at 6 months V4_within28.3824.5130.2522.64 20.683.870.463.831.741.070.467.610.171.971.581.110.01 1.00
      male harmWENaive ‘ever early PVI’V1_ignore25.7823.0620.682.720.152.381.691.010.661.00
      maleharmWENaive ‘ever early PVI’V2_cluster25.7823.0620.682.720.152.381.691.020.651.00
      maleharmWENaive ‘ever early PVI’V3_random25.8323.0620.682.770.152.381.701.030.711.00
      maleharmWENaive ‘ever early PVI’V4_within25.2823.0620.682.220.202.382.071.040.841.00
      maleharmWELandmark, + month-5 severity (suppl.)V1_ignore24.5224.6520.68-0.140.533.981.780.980.961.00
      maleharmWELandmark, + month-5 severity (suppl.)V2_cluster24.5224.6520.68-0.140.533.981.780.980.971.00
      maleharmWELandmark at 6 monthsV1_ignore25.2121.9420.683.270.141.261.731.000.551.00
      maleharmWELandmark at 6 monthsV2_cluster25.2121.9420.683.270.141.261.731.000.571.00
      maleharmWELandmark at 6 monthsV3_random25.2121.9420.683.270.141.261.721.030.581.00
      maleharmWELandmark at 6 monthsV4_within24.9121.9420.682.970.191.262.101.040.741.00
      maleharmWESequential trials, ITTV1_ignore24.0622.2320.681.830.171.551.750.990.801.00
      maleharmWESequential trials, ITTV2_cluster24.0622.2320.681.830.171.551.750.990.791.00
      maleharmWESequential trials, ITTV3_random24.0122.2320.681.790.181.551.761.000.821.00
      maleharmWESequential trials, ITTV4_within23.6522.2320.681.430.201.552.051.010.931.00
      maleharmWECCW, A vs B2V1_ignore22.4220.9820.681.440.430.304.280.890.931.00
      maleharmWECCW, A vs B2V2_cluster22.4220.9820.681.440.430.304.280.890.931.00
      maleharmWECCW, A vs B2V3_random22.4320.9820.681.450.440.304.360.880.901.00
      maleharmWECCW, A vs B2V4_within22.4220.9820.681.440.490.304.910.910.921.00
      maleharmWECCW, A vs B1 (reference)V1_ignore22.1320.6820.681.450.430.004.280.890.931.00
      maleharmWECCW, A vs B1 (reference)V2_cluster22.1320.6820.681.450.430.004.280.890.921.00
      maleharmWECCW, A vs B1 (reference)V3_random22.1420.6820.681.460.440.004.370.880.891.00
      maleharmWECCW, A vs B1 (reference)V4_within22.1020.6820.681.420.490.004.920.910.921.00
      maleharm WR Naive ‘ever early PVI’ V1_ignore male harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 32.12 25.25 male harm WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 32.12 25.25 harm WR Landmark at 6 monthsV3_random26.3425.25V1_ignore33.4815.74 14.481.091.1510.762.3517.740.531.262.250.730.001.00
      maleharmWRLandmark at 6 monthsV2_cluster33.4815.7414.4817.740.531.262.25 0.970.930.001.00
      maleharmWRLandmark at 6 monthsV3_random28.0815.7414.4812.340.501.262.340.940.00 1.00
      WR Landmark at 6 months V4_within24.9725.2526.8915.74 14.48-0.281.1710.762.650.9911.140.511.262.61 0.960.00 1.00
      null W0 Naive ‘ever early PVI’V3_random16.1316.1814.23-0.050.081.951.731.060.961.00
      malenullW0Naive ‘ever early PVI’ V4_within 15.50 16.18 0.94 1.00
      male null W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 14.79 14.68 0.95 1.00
      male null W0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 14.79 14.68 0.94 1.00
      malenullW0Landmark at 6 monthsV1_ignore14.9114.8014.230.110.090.571.781.010.951.00
      male null W0 Landmark at 6 monthsV3_random14.8614.68V2_cluster14.9114.80 14.230.190.080.451.820.990.930.110.090.571.781.000.94 1.00
      W0 Landmark at 6 months V4_within14.5914.6814.7314.80 14.23-0.090.150.452.38-0.080.160.572.39 0.96 0.93 1.00 null W0 Sequential trials, ITTV3_random15.0615.0614.23-0.000.170.841.750.990.941.00
      malenullW0Sequential trials, ITT V4_within 14.84 15.06 0.93 1.00
      male null W0 0.93 0.97
      male null W0 0.93 0.98
      malenullW0CCW, A vs B2V3_random14.4914.4714.230.020.400.243.980.970.940.98
      male null null W0 CCW, A vs B1 (reference)V3_random14.2614.2314.230.030.400.003.980.970.940.97
      malenullW0CCW, A vs B1 (reference) V4_within 14.45 14.23 0.93 0.95
      male null W1 0.92 1.00
      male null W1 0.93 1.00
      male null W1 0.94 1.00
      male null W1 0.92 1.00
      male null W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 15.04 13.92 0.90 1.00
      male null W1Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 15.04 13.92 0.92 1.00
      malenullW1Landmark at 6 monthsV1_ignore15.1414.0213.861.120.090.151.970.920.911.00
      male null W1 Landmark at 6 monthsV3_random14.8013.92V2_cluster15.1414.02 13.860.890.080.051.961.120.090.151.97 0.940.930.90 1.00
      null W1 Landmark at 6 monthsV4_within14.1013.92V3_random14.9014.02 13.860.180.890.08 0.150.052.390.951.960.94 0.94 1.00
      male null W1Landmark at 6 monthsV4_within14.2114.0213.860.190.150.152.370.960.931.00
      malenullW1 Sequential trials, ITT V1_ignore 15.43 0.91 1.00
      male null W1 0.92 1.00
      male null W1 0.95 1.00
      male null W1 0.91 1.00
      male null W1 0.94 0.99
      male null W1 0.94 0.99
      male null W1 0.93 0.99
      male null W1 0.94 0.94
      male null W1 0.94 0.99
      male null W1 0.94 0.99
      male null W1 0.92 0.99
      male null W1 0.94 0.93
      male null W1_rho0 0.96 1.00
      male null W1_rho0 0.97 1.00
      male null W1_rho0 0.97 1.00
      male null W1_rho0 0.95 1.00
      male null W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 15.01 14.92 0.98 1.00
      male null W1_rho0Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 15.01 14.92 0.98 1.00
      malenullW1_rho0Landmark at 6 monthsV1_ignore15.1215.0314.770.090.100.261.631.110.981.00
      male null W1_rho0 Landmark at 6 monthsV3_random15.1114.92V2_cluster15.1215.03 14.770.190.080.151.691.110.090.100.261.631.13 0.98 1.00
      null W1_rho0 Landmark at 6 monthsV3_random15.2215.0314.770.180.080.261.671.110.981.00
      malenullW1_rho0Landmark at 6 months V4_within14.9014.9215.0015.03 14.77 -0.03 0.130.150.26 2.01 1.15 0.98 1.00
      male null W1_rho0 0.98 1.00
      male null W1_rho0 0.98 1.00
      male null W1_rho0 0.97 1.00
      male null W1_rho0 0.95 1.00
      male null W1_rho0 0.98 1.00
      male null W1_rho0 0.99 1.00
      male null W1_rho0 0.97 1.00
      male null W1_rho0 0.96 0.96
      male null W1_rho0 0.98 1.00
      male null W1_rho0 0.98 1.00
      male null W1_rho0 0.97 0.98
      male null W1_rho0 0.96 0.96
      male null W2 0.02 1.00
      male null W2 0.01 1.00
      male null W2 0.26 1.00
      male null W2 0.16 1.00
      male null W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 16.05 16.06 0.95 1.00
      male null W2Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 16.05 16.06 0.95 1.00
      malenullW2Landmark at 6 monthsV1_ignore16.1516.1614.83-0.010.531.331.821.010.951.00
      male null W2 Landmark at 6 monthsV3_random15.7216.06V2_cluster16.1516.16 14.83-0.340.501.232.910.99-0.010.531.331.821.02 0.95 1.00
      null W2 Landmark at 6 monthsV4_within14.8216.06V3_random15.8216.16 14.83-1.240.531.233.830.930.87-0.340.501.332.90 0.990.951.00
      male null W2Landmark at 6 monthsV4_within14.9316.1614.83-1.230.531.333.810.930.900.99
      malenullW2 Sequential trials, ITT V1_ignore 16.34 0.94 1.00
      male null W2 0.95 1.00
      male null W2 0.96 1.00
      male null W2 0.91 1.00
      male null W2 0.93 1.00
      male null W2 0.93 1.00
      male null W2 0.96 0.91
      male null W2 0.94 0.79
      male null W2 0.93 1.00
      male null W2 0.93 1.00
      male null W2 0.96 0.91
      male null W2 0.95 0.76
      male null W3 0.91 1.00
      male null W3 0.94 1.00
      male null W3 0.70 0.99
      male null W3 0.32 0.98
      male null W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 16.96 8.32 0.00 1.00
      male null W3Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 16.96 8.32 0.00 1.00
      malenullW3Landmark at 6 monthsV1_ignore17.048.367.978.670.430.391.980.950.001.00
      male null W3 Landmark at 6 monthsV3_random11.328.32V2_cluster17.048.36 7.973.010.350.342.410.990.770.998.670.430.391.981.040.001.00
      male null W3 Landmark at 6 monthsV4_within9.678.32V3_random11.418.36 7.971.350.370.342.910.960.930.933.040.350.392.410.990.760.99
      male null W3Landmark at 6 monthsV4_within9.768.367.971.390.370.392.910.950.920.94
      malenullW3 Sequential trials, ITT V1_ignore 17.39 0.00 1.00
      male null W3 0.00 1.00
      male null W3 0.73 1.00
      male null W3 0.83 1.00
      male null W3 0.70 0.98
      male null W3 0.70 0.97
      male null W3 0.94 0.59
      male null W3 0.93 0.49
      male null W3 0.68 0.98
      male null W3 0.66 0.97
      male null W3 0.94 0.59
      male null W3 0.93 0.40
      male null W4 0.97 1.00
      male null W4 0.96 1.00
      malenullW4Naive ‘ever early PVI’V3_random14.6914.9412.85-0.250.102.081.791.050.961.00
      male null male null W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 13.33 13.36 male null W4Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 13.33 13.36 null W4 Landmark at 6 monthsV3_random13.4513.36V1_ignore13.4213.46 12.85-0.04 0.090.080.511.671.111.000.611.621.120.99 1.00
      null W4 Landmark at 6 monthsV4_within13.0613.36V2_cluster13.4213.46 12.85-0.300.130.512.181.10-0.040.090.611.621.11 0.99 1.00
      male null W4Landmark at 6 monthsV4_within13.1513.4612.85-0.310.130.612.201.090.991.00
      malenullW4 Sequential trials, ITT V1_ignore 13.65 0.97 1.00
      male null W4 0.97 1.00
      malenullW4Sequential trials, ITTV3_random13.6913.7112.85-0.020.160.861.641.080.981.00
      male null null W4 CCW, A vs B2V3_random15.2914.4112.850.880.391.563.931.030.941.00
      malenullW4CCW, A vs B2 V4_within 14.79 14.41 0.98 0.93
      male null W4 0.95 0.98
      male null W4 0.95 0.99
      malenullW4CCW, A vs B1 (reference)V3_random13.7312.8512.850.880.390.003.931.030.940.99
      male null male null W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 19.28 14.39 male null W5Landmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 19.28 14.39 null W5 Landmark at 6 monthsV3_random19.3414.39V1_ignore21.1414.50 14.234.956.64 0.150.161.390.271.27 1.090.060.001.00
      malenullW5Landmark at 6 monthsV2_cluster21.1414.5014.236.640.150.271.271.080.001.00
      malenullW5Landmark at 6 monthsV3_random21.2014.5014.236.700.150.271.291.090.00 1.00
      W5 Landmark at 6 months V4_within19.3514.3921.2914.50 14.234.960.180.161.761.050.206.790.170.271.471.160.01 1.00
      male nullWENaive ‘ever early PVI’V1_ignore18.1816.1414.232.040.131.911.601.000.771.00
      malenullWENaive ‘ever early PVI’V2_cluster18.1816.1414.232.040.131.911.601.010.771.00
      malenullWENaive ‘ever early PVI’V3_random18.2316.1414.232.090.131.911.601.030.781.00
      malenullWENaive ‘ever early PVI’V4_within17.7216.1414.231.580.171.911.901.060.911.00
      malenullWELandmark, + month-5 severity (suppl.)V1_ignore16.2314.7614.231.470.110.531.710.970.861.00
      malenullWELandmark, + month-5 severity (suppl.)V2_cluster16.2314.7614.231.470.110.531.710.980.861.00
      malenullWELandmark at 6 monthsV1_ignore17.2914.8614.232.440.120.631.581.010.641.00
      malenullWELandmark at 6 monthsV2_cluster17.2914.8614.232.440.120.631.581.020.641.00
      malenullWELandmark at 6 monthsV3_random17.3214.8614.232.460.120.631.581.040.701.00
      malenullWELandmark at 6 monthsV4_within17.0814.8614.232.220.160.631.981.030.801.00
      malenullWESequential trials, ITTV1_ignore16.7315.0614.231.660.150.841.551.040.871.00
      malenullWESequential trials, ITTV2_cluster16.7315.0614.231.660.150.841.551.040.861.00
      malenullWESequential trials, ITTV3_random16.7215.0614.231.660.160.841.581.050.881.00
      malenullWESequential trials, ITTV4_within16.5015.0614.231.430.190.841.891.040.921.00
      malenullWECCW, A vs B2V1_ignore15.9914.4714.231.530.360.243.581.000.951.00
      malenullWECCW, A vs B2V2_cluster15.9914.4714.231.530.360.243.581.000.961.00
      malenullWECCW, A vs B2V3_random15.9814.4714.231.520.360.243.640.990.961.00
      malenullWECCW, A vs B2V4_within15.7814.4714.231.310.420.244.220.990.961.00
      malenullWECCW, A vs B1 (reference)V1_ignore15.7614.2314.231.540.360.003.571.000.951.00
      malenullWECCW, A vs B1 (reference)V2_cluster15.7614.2314.231.540.360.003.571.000.961.00
      malenullWECCW, A vs B1 (reference)V3_random15.7614.2314.231.530.360.003.630.990.961.00
      malenullWECCW, A vs B1 (reference)V4_within15.5314.2314.231.300.420.004.220.990.961.00
      malenull WR Naive ‘ever early PVI’ V1_ignore male null WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V1_ignore 20.28 7.01 male null WRLandmark at 6 monthsLandmark, + month-5 severity (suppl.) V2_cluster 20.28 7.01 null WR Landmark at 6 monthsV3_random14.697.01V1_ignore21.547.07 6.687.680.410.332.280.860.0514.470.460.392.100.720.001.00
      malenullWRLandmark at 6 monthsV2_cluster21.547.076.6814.470.460.392.100.900.001.00
      malenullWRLandmark at 6 monthsV3_random16.387.076.689.310.430.392.070.900.00 1.00
      WR Landmark at 6 months V4_within13.647.0115.447.07 6.686.630.420.332.620.860.188.370.440.392.370.890.03 1.00