Nonparametric estimation of marked survival data in the presence of dependent censoring

Stat Med. 2023 May 30;42(12):1995-2008. doi: 10.1002/sim.9710. Epub 2023 Mar 21.


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.

Keywords: dependent censoring; inverse probability censoring weights; mark variable; nonparametric estimation.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Computer Simulation
  • Humans
  • Probability
  • Survival Analysis*