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).

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Original Publication URL: http://dx.doi.org/10.1002/sim.1876

Description/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.

Item Type: Article
ISSNs: 1097-0258 (print)
Related URLs:
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
ePrint ID: 42003
Date Deposited: 30 Oct 2006
Last Modified: 27 Mar 2014 18:26
URI: http://eprints.soton.ac.uk/id/eprint/42003

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