Affiliation:
1. Janssen Research and Development Spring House Pennsylvania USA
2. Department of Biostatistics University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
Abstract
We consider nonparametrically estimating the joint distribution of a survival time and mark variable, where the survival time is subject to right censoring and the mark variable is only observed when the survival time is not censored. The possibility of dependent censoring is allowed for using inverse probability of censoring weights. The proposed estimator is shown to be consistent and asymptotically normal. Finite sample behavior of the proposed methods are investigated via simulation study. Finally, we illustrate the nonparametric estimator from a recent HIV vaccine efficacy trial.
Funder
National Institutes of Health
Subject
Statistics and Probability,Epidemiology
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