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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. 201-8

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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.

Author-supplied keywords

  • 6-Mercaptopurine
  • 6-Mercaptopurine: therapeutic use
  • Antimetabolites, Antineoplastic
  • Antimetabolites, Antineoplastic: therapeutic use
  • Clinical Trials as Topic
  • Data Interpretation, Statistical
  • Humans
  • Leukemia
  • Leukemia: drug therapy
  • Mathematical Computing
  • Proportional Hazards Models
  • Software
  • Software Design

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