Redistribution algorithms for censored data

Research output: Contribution to journalArticle

Abstract

Efron (Proceedings of the Fifth Berkeley Symposium, Vol. 4, University of California Press, Berkeley, CA, pp. 831-853) and Dinse (Amer. Statist. 39, 1985, 299-300) proposed redistribution of mass algorithms for survivor function estimation from right censored data. Dinse's algorithm is easily extended to survivor function estimation from interval censored data and is further extended to incorporate information on disease markers.

Original languageEnglish (US)
Pages (from-to)385-389
Number of pages5
JournalStatistics and Probability Letters
Volume46
Issue number4
DOIs
StatePublished - Feb 15 2000

Keywords

  • Kaplan-Meier estimator
  • Nonparametric maximum likelihood estimator
  • Self-consistent estimator
  • Survivor function

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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