Canadian Journal of Statistics

Nonparametric estimation of the conditional survival function for bivariate failure times

Journal Article

Abstract

This paper discusses the nonparametric estimation of the conditional survival function for bivariate failure time data in the presence of dependent censoring. We use local polynomial smoothing techniques to obtain a simple estimator of the conditional survival function and investigate its asymptotic properties. Several censoring structures are considered. The proposal is compared to an existing alternative by simulation and illustrated with two real data sets. The Canadian Journal of Statistics 41: 439–452; 2013 © 2013 Statistical Society of Canada

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