Journal article

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

Heinzl H, Kaider A ...see all

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

  • 15

    Readers

    Mendeley users who have this article in their library.
  • 147

    Citations

    Citations of this article.
Sign in to save reference

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

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Authors

  • Harald Heinzl

  • Alexandra Kaider

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free