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Updated: Aug 6, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Nonparametric estimation of marked survival data in the presence of dependent censoring
Busola Sanusi1, Jianwen Cai2, Michael G Hudgens2
1Janssen Research and Development, Spring House, Pennsylvania, 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.
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