Flexible covariate effects in the proportional hazards model.

Abstract:

:The proportional hazards model is frequently used in analyzing the results of clinical trials, when it is often the case that the outcomes are right-censored. This model allows one to measure treatment effects and simultaneously identify and adjust for prognostic factors that might influence the outcome. In this paper, we outline a class of semiparametric models that allows one to model prognostic factors nonlinearly, and have the data suggest the form of their effect. The methods are illustrated in an analysis of data from a breast cancer clinical trial.

authors

Hastie T,Sleeper L,Tibshirani R

doi

10.1007/BF01840837

subject

Has Abstract

pub_date

1992-01-01 00:00:00

pages

241-50

issue

3

eissn

0167-6806

issn

1573-7217

journal_volume

22

pub_type

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