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A comparative study of tests for paired lifetime data
Authors:Zhu Wang  Hon Keung Tony Ng
Institution:(1) Statistical Center for HIV/AIDS Research & Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA;(2) Department of Statistical Science, Southern Methodist University, Dallas, TX, 75275-0332, USA
Abstract: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.
Keywords:Power  Size  Bivariate distribution  Logistic distribution  Weibull distribution  Monte Carlo simulations  Wilcoxon signed rank statistic
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