A comparative study of tests for paired lifetime data

Zhu Wang, Hon Keung Tony Ng

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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 languageEnglish (US)
Pages (from-to)505-522
Number of pages18
JournalLifetime Data Analysis
Volume12
Issue number4
DOIs
StatePublished - Dec 2006
Externally publishedYes

Keywords

  • Bivariate distribution
  • Logistic distribution
  • Monte Carlo simulations
  • Power
  • Size
  • Weibull distribution
  • Wilcoxon signed rank statistic

ASJC Scopus subject areas

  • Applied Mathematics

Fingerprint

Dive into the research topics of 'A comparative study of tests for paired lifetime data'. Together they form a unique fingerprint.

Cite this