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Table 1 Proportion of simulations (out of 1000) with P-values < 0.05 for a single variable

From: Testing the proportional hazards assumption in case-cohort analysis

Variable type Shape of hazards functions & proportionality Corr with time Corr with rank Corr with KM estimate
Binary Non-monotonic proportional 0.059 0.056 0.054
  Non-monotonic non-proportional 0.874 0.877 0.857
  Increasing non-proportional 0.445 0.409 0.407
  Decreasing non-proportional 0.805 0.931 0.928
  One constant one increasing non-proportional 0.657 0.666 0.646
Continuous Non-monotonic proportional 0.052 0.059 0.060
  Increasing proportional 0.041 0.045 0.042
  Non-monotonic non-proportional 0.997 0.996 0.995
  1. Note: Abbreviation: Corr correlation, KM Kaplan-Meier Survival Curve.
  2. The full-cohort sample size for all models was 2000; group 1 and group 2 had equal sample size; and the subcohort sample size was 500 using simple random sampling.