Title
On a General Class of Semiparametric Hazards Regression Models
Abstract
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.
Disciplines
Statistical Models | Survival Analysis
Suggested Citation
Chen, Ying Qing and Jewell, Nicholas P., "On a General Class of Semiparametric Hazards Regression Models" (February 2000). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 83.
https://biostats.bepress.com/ucbbiostat/paper83
Comments
Published 2001 in Biometrika 88(3), pp. 687-702.