title: A method for comparing semi-parametric models with parametric models in competing risks analysis.
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.
authors.affiliation: University of Alabama, Birmingham 35294.
authors.forename: J
authors.initials: J
authors.lastname: Wan
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000401:mortality; D003198:Computer Simulation; D006801:Humans; D012306:Risk; D012984:Software; D016019:Survival Analysis