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Comput Methods Programs Biomed. 1997 Nov;54(3):201-8.

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

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1
Department of Medical Computer Sciences, University of Vienna, Austria. Harald.Heinzl@AKH-Wien.AC.AT

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.

PMID:
9421665
[Indexed for MEDLINE]
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