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Biometrika 2001 88(3):687-702; doi:10.1093/biomet/88.3.687
© 2001 by Biometrika Trust
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On a general class of semiparametric hazards regression models

Y.Q. Chen1 and N.P. Jewell1

1 Division of Biostatistics, School of Public Health, University of California, Berkeley, California 94720, U.S.Ayqchen{at}stat.berkeley.edu jewell{at}stat.berkeley.edu

A general class of semiparametric hazards regression models for survival data is proposed and studied.This general class includes some popular classes of models as subclasses, such as Cox's proportional hazards model, the accelerated failure time model and a recently proposed class of models called the accelerated hazards model. In the general class of models, a covariate's effect is identified as having two separate components, namely a time-scale change on hazard progression and a relative hazards ratio. The new model is flexible in modelling survival data and may yield more accurate prediction of an individual's survival process. By way of the nested structure that includes the proportional hazards model, the accelerated failure time model and the accelerated hazards model, the general class of models may provide a numerical tool for determining which of them is more appropriate for a given dataset.

Key Words: Accelerated failure time model; Accelerated hazards model; Proportional hazards model; Survival data

Received October 2000. Revised January 2001


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