Journal
BIOMETRICAL JOURNAL
Volume 51, Issue 3, Pages 467-474Publisher
WILEY
DOI: 10.1002/bimj.200800228
Keywords
c-index; Random censorship model; Survival analysis
Funding
- NIH [U01CA114810, P01CA104898]
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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.
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