title: Mixtures of proportional hazards regression models.
abstract: 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.
authors.affiliation: Department of Statistics, Northwestern University, Evanston, IL 60208, USA.
authors.forename: O
authors.initials: O
authors.lastname: Rosen
authors.forename: M
authors.initials: M
authors.lastname: Tanner
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003198:Computer Simulation; D006801:Humans; D008875:Middle Aged; D009101:Multiple Myeloma / Q000401:mortality; D016016:Proportional Hazards Models; D016019:Survival Analysis