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

J Wan
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Abstract

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.

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Carcinoma, Squamous CellComputer SimulationHumansRiskSoftwareSurvival AnalysisJournal Article

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BibTeXRIS

J Wan. 1989. A method for comparing semi-parametric models with parametric models in competing risks analysis.. https://doi.org/10.1016/0010-4809(89)90076-1

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