Mixtures of proportional hazards regression models
β Scribed by Ori Rosen; Martin Tanner
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 161 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0277-6715
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β¦ Synopsis
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.
π SIMILAR VOLUMES
A wholly parametric non-proportional hazards survival model is introduced. The model retains Cox's constant of proportionality as the leading term in the relative risk but permits additional flexibility by modelling the relative risk as a function of time. Covariate effects are modelled on the log o
This research was conducted to examine the effect of model choice on the epidemiologic interpretation of occupational cohort data. Three multiplicative models commonly employed in the analysis of occupational cohort studies-proportional hazards, Poisson, and logistic regression-were used to analyze