Computer methods and programs in biomedicine, vol. 54, issue 3 (1997) pp. 201-8
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.
Mendeley saves you time finding and organizing research
Choose a citation style from the tabs below