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. 2018 Jul 19;21(1):50–68. doi: 10.1093/biostatistics/kxy028

Table 2.

Simulation for settings without any HTE present

    Normal Gumbel Std-Gamma T-mixture Cox-PH
n Censoring SE ME SE ME SE ME SE ME SE ME
 200 none 0.000 0.095 0.000 0.040 0.000 0.070 0.000 0.060 0.000 0.140
 200 light 0.000 0.095 0.000 0.000 0.075 0.350 0.000 0.380 0.000 0.015
 200 heavy 0.000 0.020 0.000 0.000 0.000 0.000 0.000 0.055 0.000 0.290
1000 none 0.000 0.803 0.073 2.066 0.092 1.483 0.161 3.087 0.176 3.824
1000 light 0.061 1.989 0.015 0.967 0.213 2.674 0.066 3.176 0.111 3.405
1000 heavy 0.002 1.253 0.000 0.484 0.030 1.176 0.123 2.953 0.135 2.688

Results are based on Inline graphic simulation replications. Average percentage of patients exhibiting strong evidence (SE) of differential treatment effect (i.e. Inline graphic) and average percentage of patients exhibiting mild evidence (ME) of differential treatment effect (i.e. Inline graphic). Results are shown for AFT models with the same four residual distributions used in the simulations from Section 4.1 and for a Cox-proportional hazards model with no treatment-covariate interactions. Censoring levels were varied according to: none, light censoring (Inline graphicInline graphic of cases censored), and heavy censoring (Inline graphicInline graphic of cases censored).