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. Author manuscript; available in PMC: 2011 Aug 25.
Published in final edited form as: Stat Med. 2010 Nov 30;30(7):709–717. doi: 10.1002/sim.4131

Table II.

Large sample (a) and small sample (b) performance of the method in estimating the biological efficacy (ψ1) in a Weibull model under various censoring rates (CR) and treatable subgroup proportions (p), (c) simulation of MSLT-I conditions (CR>75 per cent, p = 0.2) under three different efficacy scenarios.

CR True p ψ̂1 Coverage Simulation variance Estimated variance
(a) Large sample simulation (N = 1000, true ψ1 = 0.85)
40 per cent 0.3 0.8432 94.7 0.0420 0.0421
0.5 0.8551 95.1 0.0197 0.0199
0.8 0.8502 94.7 0.0106 0.0106
60 per cent 0.3 0.8539 95.3 0.0477 0.0487
0.5 0.8521 95.3 0.0243 0.0247
0.8 0.8492 95.5 0.0141 0.0144
(b) Small sample simulation (N = 400, true ψ1 = 0.85)
40 per cent 0.3 0.8379 93.9 0.1176 0.1108
0.5 0.8504 93.8 0.0552 0.0500
0.8 0.8523 95.9 0.0257 0.0266
60 per cent 0.3 0.8414 93.5 0.1325 0.1255
0.5 0.8565 93.8 0.0632 0.0645
0.8 0.8544 94.6 0.0364 0.0362
(c) Simulation of MSLT-I (N = 1300)
True ψ1
1.00 0.9842 94.7 0.1023 0.1012
0.50 0.5012 95.6 0.0950 0.0957
0.00 0.0071 95.7 0.0923 0.0966