Fully nonparametric survival analysis in the presence of time-dependent covariates and dependent censoring

In the presence of informative right censoring and time-dependent covariates, we estimate the survival function in a fully nonparametric fashion. We introduce a novel method for incorporating multiple observations per subject when estimating the survival function at different covariate values and compare several competing methods via simulation. The proposed method is applied to survival data from people awaiting liver transplant.

Automated summary

This paper investigates the nonparametric estimation of survival function in the presence of informative right censoring and time-dependent covariates. A novel method is introduced to incorporate multiple observations per subject when estimating the survival function at different covariate values, and several competing methods are compared through simulation. The proposed method is applied to survival data from people awaiting liver transplant.