Article (Scientific journals)
Parametric accelerated failure time models with random effects and an application to kidney transplant survival
Lambert, Philippe; Collett, Dave; Kimber, Alan et al.
2004In Statistics in Medicine, 23, p. 3177-3192
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Keywords :
accelerated failure time model; frailty; transplant survival
Abstract :
[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.
Disciplines :
Urology & nephrology
Mathematics
Author, co-author :
Lambert, Philippe  ;  Université de Liège - ULiège > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales
Collett, Dave
Kimber, Alan
Johnson, R.
Language :
English
Title :
Parametric accelerated failure time models with random effects and an application to kidney transplant survival
Publication date :
2004
Journal title :
Statistics in Medicine
ISSN :
0277-6715
eISSN :
1097-0258
Publisher :
John Wiley & Sons, Hoboken, United States - New Jersey
Volume :
23
Pages :
3177-3192
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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since 29 September 2009

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