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The concordance index c and the mann-whitney parameter pr(x > y) with randomly censored data

Academic Article
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Overview

authors

  • Koziol, James
  • Jia, Z. Y.

publication date

  • July 2009

journal

  • Biometrical Journal  Journal

abstract

  • Harrell's c-index or concordance C has been widely used as a measure of separation of two survival distributions. In the absence of censored data, the c-index estimates the Mann-Whitney parameter Pr(X>Y), which has been repeatedly utilized in various statistical contexts. In the presence of randomly censored data, the c-index no longer estimates Pr(X>Y); rather, a parameter that involves the underlying censoring distributions. This is in contrast to Efron's maximum likelihood estimator of the Mann-Whitney parameter, which is recommended in the setting of random censorship.

subject areas

  • Algorithms
  • Bayes Theorem
  • Biometry
  • Outcome Assessment (Health Care)
  • Proportional Hazards Models
  • Statistics, Nonparametric
  • Survival Analysis
  • Survival Rate
  • Survivors
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Research

keywords

  • Random censorship model
  • Survival analysis
  • c-index
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Identity

International Standard Serial Number (ISSN)

  • 0323-3847

Digital Object Identifier (DOI)

  • 10.1002/bimj.200800228

PubMed ID

  • 19588452
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Additional Document Info

start page

  • 467

end page

  • 474

volume

  • 51

issue

  • 3

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