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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
A method for comparing semi-parametric models with parametric models in competing risks analysis
1University of Alabama, Birmingham 35294.
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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