Parametric accelerated failure time models with random effects and an application to kidney transplant survival
Lambert, Philippe, Collett, Dave, Kimber, Alan and Johnson, Rachel (2004) Parametric accelerated failure time models with random effects and an application to kidney transplant survival. Statistics in Medicine, 23, (20), 3177-3192. (doi:10.1002/sim.1876).
Full text not available from this repository.
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.
|Digital Object Identifier (DOI):||doi:10.1002/sim.1876|
|Keywords:||survival analysis, accelerated failure time model, frailty, random effects, Gompertz hazard, transplant survival|
|Subjects:||R Medicine > RD Surgery
Q Science > QA Mathematics > QA76 Computer software
|Divisions:||University Structure - Pre August 2011 > School of Mathematics > Statistics
|Date Deposited:||30 Oct 2006|
|Last Modified:||31 Mar 2016 12:14|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)