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A method for comparing semi-parametric models with parametric models in competing risks analysis

✍ Scribed by Jim Wan

Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
555 KB
Volume
22
Category
Article
ISSN
0010-4809

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✦ Synopsis

In survival analysis, Cox's regression model is often used to assess the effect of covariates on the time of failure. This semi-parametric model has been extended to the situation where more than one cause of failure is of interest. In this paper, two semi-parametric models for the analysis of competing risks with covariates in the presence of independent random censoring are considered. Particular attention is devoted to the comparison between the two models. A method using a measure derived from the generalized variance is proposed. This method is illustrated with an example in a cancer clinical trial. A FORTRAN program for the computer implementation of the method is also discussed. o 1989 Academic FWSS, I~C.

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