Comparing survival functions with interval-censored data in the presence of an intermediate clinical event

Table 3 Empirical power of tests by varying m_1B when censoring fraction is 0% and 30% and when there are some missed visits with a probability of 0.1 for the first year and then of 0.2 thereafter

(θ_A,θ_B)	(m_0A,m_0B)	(m_1A,m_1B)	I	II	III-(1)	III-(2)	IV-(1)	IV-(2)
Censoring fraction = 0%
n=50
(0.5, 0.5)	(1, 1)	(2, 1.5)	0.120	0.108	0.111	0.136	0.110	0.128
(0.5, 0.5)	(1, 1)	(2, 1.25)	0.222	0.181	0.250	0.283	0.245	0.281
(0.5, 0.5)	(1, 1)	(2, 1.0)	0.386	0.320	0.480	0.513	0.484	0.509
n=100
(0.5, 0.5)	(1, 1)	(2, 1.5)	0.181	0.146	0.201	0.214	0.204	0.216
(0.5, 0.5)	(1, 1)	(2, 1.25)	0.373	0.315	0.471	0.501	0.474	0.505
(0.5, 0.5)	(1, 1)	(2, 1.0)	0.647	0.564	0.824	0.841	0.826	0.841
n=200
(0.5, 0.5)	(1, 1)	(2, 1.5)	0.310	0.289	0.364	0.387	0.360	0.384
(0.5, 0.5)	(1, 1)	(2, 1.25)	0.652	0.575	0.808	0.821	0.812	0.821
(0.5, 0.5)	(1, 1)	(2, 1.0)	0.925	0.860	0.991	0.991	0.990	0.991
Censoring fraction = 30%
n=50
(0.5, 0.5)	(1, 1)	(2, 1.5)	0.101	0.099	0.110	0.120	0.110	0.119
(0.5, 0.5)	(1, 1)	(2, 1.25)	0.161	0.147	0.204	0.220	0.200	0.218
(0.5, 0.5)	(1, 1)	(2, 1.0)	0.266	0.229	0.388	0.417	0.391	0.414
n=100
(0.5, 0.5)	(1, 1)	(2, 1.5)	0.113	0.114	0.145	0.160	0.143	0.155
(0.5, 0.5)	(1, 1)	(2, 1.25)	0.258	0.218	0.380	0.407	0.376	0.402
(0.5, 0.5)	(1, 1)	(2, 1.0)	0.474	0.400	0.707	0.724	0.704	0.723
n=200
(0.5, 0.5)	(1, 1)	(2, 1.5)	0.248	0.202	0.297	0.312	0.301	0.310
(0.5, 0.5)	(1, 1)	(2, 1.25)	0.507	0.432	0.695	0.711	0.695	0.706
(0.5, 0.5)	(1, 1)	(2, 1.0)	0.802	0.720	0.957	0.960	0.956	0.959

I = log-rank, II = Stratified log-rank, III = Uniform weight method, IV = Weighted weight method (1) added within and between variance, (2) subtracted within and between variance

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