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

Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions
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DOI：
10.1016/s0169-2607(97)00043-6
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发表时间：
1997-11-01
期刊：
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
影响因子：
6.1
通讯作者：
Kaider, A
Kaider, A
中科院分区：
工程技术2区
文献类型：
--
作者：
Heinzl, H;Kaider, A

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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. (C) 1997 Elsevier Science Ireland Ltd.