Statistical inference and model selection for the 1861 Hagelloch measles epidemic.

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 1468-4357

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Abstract

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.

Item Type:
Journal Article
Journal or Publication Title:
Biostatistics
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2613
Subjects:
?? model choicereversible jump mcmcstochastic epidemics.statistics and probabilitystatistics, probability and uncertaintygeneral medicinemedicine(all)qa mathematics ??
ID Code:
9526
Deposited By:
Users 810 not found.
Deposited On:
13 Jun 2008 10:06
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 08:47