A comparative study of tests for paired lifetime data.
In this paper, we investigate different procedures for testing the equality of two mean survival times in paired lifetime studies. We consider Owen's M-test and Q-test, a likelihood ratio test, the paired t-test, the Wilcoxon signed rank test and a permutation test based on log-transformed survival times in the comparative study. We also consider the paired t-test, the Wilcoxon signed rank test and a permutation test based on original survival times for the sake of comparison. The size and power characteristics of these tests are studied by means of Monte Carlo simulations under a frailty Weibull model. For less skewed marginal distributions, the Wilcoxon signed rank test based on original survival times is found to be desirable. Otherwise, the M-test and the likelihood ratio test are the best choices in terms of power. In general, one can choose a test procedure based on information about the correlation between the two survival times and the skewness of the marginal survival distributions.
Wang
Zhu
Z
Statistical Center for HIV/AIDS Research & Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
Ng
Hon Keung Tony
HK
D001699:Biometry; D006801:Humans; D015993:Life Tables; D016013:Likelihood Functions; D015233:Models, Statistical; D009010:Monte Carlo Method; D016019:Survival Analysis