Literature DB >> 9421665

Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions.

H Heinzl1, A Kaider.   

Abstract

The Cox proportional hazards model is the most popular model for the analysis of survival data. The use of cubic spline functions allows investigation of non-linear effects of continuous covariates and flexible assessment of time-by-covariate interactions. Two main advantages are provided--no particular functional form has to be specified and standard computer software packages like SAS or BMDP can be used. A SAS macro which implements the method is presented.

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Year:  1997        PMID： 9421665     DOI： 10.1016/s0169-2607(97)00043-6

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN： 0169-2607            Impact factor:   5.428


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