Reference : Parametric accelerated failure time models with random effects and an application to kid...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
Human health sciences : Urology & nephrology
Parametric accelerated failure time models with random effects and an application to kidney transplant survival
Lambert, Philippe mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
Collett, Dave [ > > ]
Kimber, Alan [ > > ]
Johnson, R. [ > > ]
Statistics in Medicine
Yes (verified by ORBi)
[en] accelerated failure time model ; frailty ; transplant survival
[en] Accelerated failure time models with a shared random component are described, and are used to evaluate the effect of explanatory factors and different transplant centres on survival times following kidney transplantation. Different combinations of the distribution of the random effects and baseline hazard function are considered and the fit of such models to the transplant data is critically assessed. A mixture model that combines short- and long-term components of a hazard function is then developed, which provides a more flexible model for the hazard function. The model can incorporate different explanatory variables and random effects in each component. The model is straightforward to fit using standard statistical software, and is shown to be a good fit to the transplant data.
FNRS, Belgique

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