Estimation of the failure time distribution in the presence of informative censoring

Daniel O Scharfstein, James M. Robins

Research output: Contribution to journalArticle

Abstract

We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.

Original languageEnglish (US)
Pages (from-to)617-634
Number of pages18
JournalBiometrika
Volume89
Issue number3
DOIs
StatePublished - 2002

Fingerprint

Informative Censoring
Failure Time
Censoring
Random variables
Prognostic Factors
Right-censored Data
Clinical Trials
Continuous Time
clinical trials
Adjustment
Acquired Immunodeficiency Syndrome
Random variable
Simulation Study
Curve
methodology
Factors

Keywords

  • Coarsening at random
  • Competing risks
  • Curse of dimensionality
  • Inverse probability of censoring weighted estimation
  • Kaplan-Meier estimator
  • Sequential ignorability of censoring

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Statistics and Probability
  • Mathematics(all)
  • Applied Mathematics

Cite this

Estimation of the failure time distribution in the presence of informative censoring. / Scharfstein, Daniel O; Robins, James M.

In: Biometrika, Vol. 89, No. 3, 2002, p. 617-634.

Research output: Contribution to journalArticle

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