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Mixtures of proportional hazards regression models
Author(s) -
Rosen Ori,
Tanner Martin
Publication year - 1999
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19990515)18:9<1119::aid-sim116>3.0.co;2-v
Subject(s) - proportional hazards model , covariate , accelerated failure time model , computer science , hazard , statistics , regression analysis , function (biology) , econometrics , mathematics , chemistry , organic chemistry , evolutionary biology , biology
This paper presents a mixture model which combines features of the usual Cox proportional hazards model with those of a class of models, known as mixtures‐of‐experts. The resulting model is more flexible than the usual Cox model in the sense that the log hazard ratio is allowed to vary non‐linearly as a function of the covariates. Thus it provides a flexible approach to both modelling survival data and model checking. The method is illustrated with simulated data, as well as with multiple myeloma data. Copyright © 1999 John Wiley & Sons, Ltd.