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Joint modelling of longitudinal measurements and event time data.

Henderson, Robin and Diggle, Peter J. and Dobson, Angela (2000) Joint modelling of longitudinal measurements and event time data. Biostatistics, 1 (4). pp. 465-480. ISSN 1468-4357

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Abstract

This paper formulates a class of models for the joint behaviour of a sequence of longitudinal measurements and an associated sequence of event times, including single-event survival data. This class includes and extends a number of specific models which have been proposed recently, and, in the absence of association, reduces to separate models for the measurements and events based, respectively, on a normal linear model with correlated errors and a semi-parametric proportional hazards or intensity model with frailty. Special cases of the model class are discussed in detail and an estimation procedure which allows the two components to be linked through a latent stochastic process is described. Methods are illustrated using results from a clinical trial into the treatment of schizophrenia.

Item Type: Article
Journal or Publication Title: Biostatistics
Uncontrolled Keywords: Biomarkers ; Counting processes ; Informative drop-out ; Repeated measurements ; Serial correlation ; Survival
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
Faculty of Health and Medicine > Medicine
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ID Code: 19347
Deposited By: ep_ss_importer
Deposited On: 17 Nov 2008 15:16
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:28
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/19347

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