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Parametric accelerated failure time models with random effects and an application to kidney transplant survival

Lambert, P., Collett, D., Kimber, A. and Johnson, R. (2004) Parametric accelerated failure time models with random effects and an application to kidney transplant survival. Statistics in Medicine, 23 (20). pp. 3177-3192. ISSN 0277-6715

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To link to this item DOI: 10.1002/sim.1876

Abstract/Summary

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. Copyright (C) 2004 John Wiley Sons, Ltd.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences
ID Code:10549
Uncontrolled Keywords:survival analysis, accelerated failure time model, frailty, random, effects, Gompertz hazard, transplant survival, FRAILTY MODELS, LIKELIHOOD-ESTIMATION, PROPORTIONAL-HAZARDS, HETEROGENEITY

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