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A Covariate-adjusted Logrank Test for Paired Survival Data
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 Title & Authors
A Covariate-adjusted Logrank Test for Paired Survival Data
Jeong, Gyu-Jin;
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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.
 Keywords
proportional hazard model;score test;restricted maximum partial likelihood estimate;
 Language
English
 Cited by
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