Using a Mixture Model to Predict the Occurrence of Diabetic-Retinpathy

Young, Philip J. and Morgan, Byron J. T. and Sonksen, Peter H. and Till, Sebastian and Williams, Charles (1995) Using a Mixture Model to Predict the Occurrence of Diabetic-Retinpathy. Statistics in Medicine, 14 (23). pp. 2599-2608. ISSN 0277-6715. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1002/sim.4780142308

Abstract

Diabetes mellitus is a common condition which has several serious complications associated with it. In this paper a mixture model, based on one previously used to predict the onset of AIDS, is used to predict the onset of one of these complications, diabetic retinopathy, the major cause of adult blindness in the U.K. This model differs from the previous AIDS model by introducing covariates into the model and using a wider choice of mixture distributions. The fit and distributional assumptions of the model are then discussed for this example. The model is fitted to the data by maximum likelihood. It is important that the training set contains balanced numbers of individuals with and without retinopathy.

Item Type: Article
Subjects: Q Science
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science
Depositing User: I.T. Ekpo
Date Deposited: 15 May 2009 17:54
Last Modified: 18 Jul 2014 08:24
Resource URI: http://kar.kent.ac.uk/id/eprint/19144 (The current URI for this page, for reference purposes)
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