Publication details

Identifying nonproportional covariates in the Cox model

Authors

KRAUS David

Year of publication 2008
Type Article in Periodical
Magazine / Source Communications in Statistics - Theory and Methods
Citation
Doi http://dx.doi.org/10.1080/03610920701669744
Keywords Cox model; goodness of fit; proportional hazards assumption; time-varying coefficients
Description This paper addresses problem of testing whether an individual covariate in the Cox model has a proportional (i.e., time-constant) effect on the hazard. Two existing methods are considered: one is based on the component of the score process, and the other is a Neyman type smooth test. Simulations show that, when the model contains both proportional and nonproportional covariates, these methods are not reliable tools for discrimination. A simple yet effective solution is proposed based on smooth modeling of the effects of the covariates not in focus.

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