Kaplan—meier, marginal or conditional probability curves in summarizing competing risks failure time data?

Margaret Sullivan Pepe, Motomi Mori

Research output: Contribution to journalArticlepeer-review

505 Scopus citations

Abstract

In the context of competing risks the Kaplan—Meier estimator is often unsuitable for summarizing failure time data. We discuss some alternative descriptive methods including marginal probability and conditional probability estimators. Two‐sample test statistics are also presented.

Original languageEnglish (US)
Pages (from-to)737-751
Number of pages15
JournalStatistics in Medicine
Volume12
Issue number8
DOIs
StatePublished - Apr 30 1993
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Fingerprint

Dive into the research topics of 'Kaplan—meier, marginal or conditional probability curves in summarizing competing risks failure time data?'. Together they form a unique fingerprint.

Cite this