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Assessing Interactions Of Binary Time-dependent Covariates With Time In Cox Proportional Hazards Regression Models Using Cubic Spline Functions by HARALD HEINZL; ALEXANDRA KAIDER; GERHARD ZLABINGER is a Mathematics article available to read on EtoBox.

What is Assessing Interactions Of Binary Time-dependent Covariates With Time In Cox Proportional Hazards Regression Models Using Cubic Spline Functions about?

The Cox proportional hazards model is the most popular model for the analysis of survival data. Time-dependent covariates can be included in a straightforward manner. In most cases such covariates will be binary, indicating some form of changing group membership, with individuals starting in group 0, and changing into group 1 after the occurrence of a specific event. If there is evidence that the hazard ratio between these two groups depends on the sojourn time in group 1, then the use of cubic spline functions will allow investigation of the shape of the supposed effect and provide two main advantagesno particular functional form has to be specified and standard computer software packages like SAS or BMDP can be used.

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Author

HARALD HEINZL; ALEXANDRA KAIDER; GERHARD ZLABINGER

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)

Published

1996

Language

EN

Field

Mathematics (Physical Sciences)