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

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  • David M. Ruth
  • Nicholas L. Wood
  • Douglas N. VanDerwerken

Abstract

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.

Suggested Citation

  • David M. Ruth & Nicholas L. Wood & Douglas N. VanDerwerken, 2023. "Fully nonparametric survival analysis in the presence of time-dependent covariates and dependent censoring," Journal of Applied Statistics, Taylor & Francis Journals, vol. 50(5), pages 1215-1229, April.
    • Handle: RePEc:taf:japsta:v:50:y:2023:i:5:p:1215-1229
    DOI: 10.1080/02664763.2022.2031128
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