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Biometrics. 1996 Sep;52(3):874-85.

A regression survival model for testing the proportional hazards hypothesis.

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Centre Hospitalier RĂ©gional Universitaire, Paris, France.


A semi-parametric generalization of the proportional hazards regression model is defined, whereby the hazard functions can cross for different values of the covariates. In the two-sample comparison, it includes in particular the case of two Weibull distributions differing in scale and shape parameters. A global test of the proportional hazards assumption is proposed against such defined alternatives. Its power in the two-sample case is compared to that of previously described tests by using simulation experiments. Survival data of patients with breast carcinoma, including several prognostic factors, are presented as an illustration.

[Indexed for MEDLINE]

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