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.
Original language | English (US) |
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Pages (from-to) | 505-522 |
Number of pages | 18 |
Journal | Lifetime Data Analysis |
Volume | 12 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2006 |
Externally published | Yes |
Keywords
- Bivariate distribution
- Logistic distribution
- Monte Carlo simulations
- Power
- Size
- Weibull distribution
- Wilcoxon signed rank statistic
ASJC Scopus subject areas
- Applied Mathematics