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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), pp. 3177-3192. (doi:10.1002/sim.1876).

Record type: Article

Abstract

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.

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More information

Published date: 2004
Keywords: survival analysis, accelerated failure time model, frailty, random effects, Gompertz hazard, transplant survival
Organisations: Statistics

Identifiers

Local EPrints ID: 42003
URI: http://eprints.soton.ac.uk/id/eprint/42003
ISSN: 0277-6715
PURE UUID: b57aefaa-01f2-48ad-a18b-3b45ad623703

Catalogue record

Date deposited: 30 Oct 2006
Last modified: 17 Jul 2017 15:25

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Contributors

Author: Philippe Lambert
Author: Dave Collett
Author: Alan Kimber
Author: Rachel Johnson

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