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. (doi:https://doi.org/10.1002/sim.4780142308) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
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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.
|Divisions:||Faculties > Sciences > School of Mathematics Statistics and Actuarial Science|
|Depositing User:||I.T. Ekpo|
|Date Deposited:||15 May 2009 17:54 UTC|
|Last Modified:||18 Jul 2014 08:24 UTC|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/19144 (The current URI for this page, for reference purposes)|