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Journal article

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

Heinzl H, Kaider A...(+2 more)

Computer Methods and Programs in Biomedicine, vol. 54, issue 3 (1997) pp. 201-208 Published by Elsevier Sci Ireland Ltd

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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.

Author-supplied keywords

  • Binary time-dependent covariate
  • Non-linear functional relationship
  • Proportional hazards regression model
  • Restricted cubic spline function
  • SAS macro
  • Time-by-covariate interaction

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