A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors
含协变量误差的半参数生存回归:伪偏似然方法
This article presents an estimator for the regression coefficient vector in the Cox proportional hazards model with covariate error. The estimator is obtained by maximizing a likelihood-type function similar to the Cox partial likelihood. The likelihood function involves the cumulative baseline hazard function, for which a simple estimator is substituted. The method is capable of handling general covariate error structures; it is not restricted to the independent additive…