Analysis of failure time data under competing censoring mechanisms

Andrea Rotnitzky, Andres Farall, Andrea Bergesio, Daniel Scharfstein

Research output: Contribution to journalArticle

Abstract

We derive estimators of the survival curve of a failure time in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competing censoring mechanisms are associated with the end point, even after adjustment for recorded prognostic factors. It also allows the degree of residual association to be possibly different for distinct censoring processes. Our methods generalize from one to several competing censoring mechanisms the methods of Scharfstein and Robins.

Original languageEnglish (US)
Pages (from-to)307-327
Number of pages21
JournalJournal of the Royal Statistical Society. Series B: Statistical Methodology
Volume69
Issue number3
DOIs
StatePublished - Jun 1 2007

Keywords

  • Cause-specific censoring
  • Inverse weighted probability
  • Sensitivity analysis
  • Sharp bounds

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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