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A comparison of frailty models for multivariate survival data.

Pickles, Andrew R. and Crouchley, Rob (1995) A comparison of frailty models for multivariate survival data. Statistics in Medicine, 14 (13). pp. 1447-1461.

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Abstract

This paper reviews some of the main approaches to the analysis of multivariate censored survival data. Such data typically have correlated failure times. The correlation can be a consequence of the observational design, for example with clustered sampling and matching, or it can be a focus of interest as in genetic studies, longitudinal studies of recurrent events and other studies involving multiple measurements. We assume that the correlation between the failure or survival times can be accounted for by fixed or random frailty effects. We then compare the performance of conditional and mixture likelihood approaches to estimating models with these frailty effects in censored bivariate survival data. We find that the mixture methods are surprisingly robust to misspecification of the frailty distribution. The paper also contains an illustrative example on the times to onset of chest pain brought on by three endurance exercise tests during a drug treatment trial of heart patients.

Item Type: Article
Journal or Publication Title: Statistics in Medicine
Subjects: Q Science > QA Mathematics
Departments:
ID Code: 19679
Deposited By: ep_ss_importer
Deposited On: 10 Nov 2008 15:02
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:34
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/19679

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