Neal, Peter J. and Roberts, Gareth O. (2004) Statistical inference and model selection for the 1861 Hagelloch measles epidemic. Biostatistics, 5 (2). pp. 249-261. ISSN 1468-4357Full text not available from this repository.
A stochastic epidemic model is proposed which incorporates heterogeneity in the spread of a disease through a population. In particular, three factors are considered: the spatial location of an individual's home and the household and school class to which the individual belongs. The model is applied to an extremely informative measles data set and the model is compared with nested models, which incorporate some, but not all, of the aforementioned factors. A reversible jump Markov chain Monte Carlo algorithm is then introduced which assists in selecting the most appropriate model to fit the data.
|Journal or Publication Title:||Biostatistics|
|Uncontrolled Keywords:||Model choice ; Reversible jump MCMC ; Stochastic epidemics.|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
Faculty of Science and Technology > Lancaster Environment Centre
|Deposited By:||Mrs Yaling Zhang|
|Deposited On:||13 Jun 2008 11:06|
|Last Modified:||23 Jan 2017 01:59|
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