Robust covariate-adjusted logrank tests
稳健的协变量调整对数秩检验
In testing for significance of treatment effect within two-sample censored survival data with measured covariates, it is known (Tsiatis, Rosner & Tritchler, 1985) that adjusting the logrank test statistic using a proportional-hazards model for covariate effect can substantially increase efficiency. Extending the robust score statistics described by Lin & Wei (1989), we show how to estimate and optimise the relative efficiencies of such score statistics based on various…