Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Covariate-adjusted Logrank Test for Paired Survival Data

  • Jeong, Gyu-Jin (Department of Informational Statistics, Hannam University)
  • Published : 2002.08.01
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Abstract

In this paper, a covariate adjusted logrank test is considered for censored paired data under the Cox proportional hazard model. The proposed score test resembles the adjusted logrank test of Tsiatis, Rosner and Tritchler (1985), which is derived from the partial likelihood. The dependence structure for paired data is accommodated into the test statistic by using' sum of square type' variance estimators. Several weight functions are also considered, which produce a class of covariate adjusted weighted logrank tests. Asymptotic normality of the proposed test is established and simulation studies with moderate sample size show the proposed test works well, particularly when there are dependence structure between treatment and covariates.

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References

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