Informace o publikaci

Identifying nonproportional covariates in the Cox model

Autoři

KRAUS David

Rok publikování 2008
Druh Článek v odborném periodiku
Časopis / Zdroj Communications in Statistics - Theory and Methods
Citace
Doi http://dx.doi.org/10.1080/03610920701669744
Klíčová slova Cox model; goodness of fit; proportional hazards assumption; time-varying coefficients
Popis 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.

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info