Estimating survival curves under proportional hazards model with covariate measurement errors

Fbr the Cox proportional hazards model with additive covariate measurement errors, we propose a corrected cumulative baseline hazard estimator that reduces the bias of the naive Breslow estimator, We also derive corresponding modified estimators for the hazard functions and the survival functions of individuals with particular covariate values. Using a Monte Carlo technique developed by Lin et at. (1994), we construct confidence bands for such hazard and survival functions.