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Bayesian geo-additive modelling of childhood morbidity in Malawi
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Kandala, Ngianga-Bakwin (2006) Bayesian geo-additive modelling of childhood morbidity in Malawi. In: 7th World Meeting of the International Society for Bayesian Analysis, Vina del Mar, Chile, May 23-27, 2004. Published in: Applied Stochastic Models in Business and Industry, Vol.22 (No.2). pp. 139-154. doi:10.1002/asmb.624 ISSN 1524-1904.
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Official URL: http://dx.doi.org/10.1002/asmb.624
Abstract
This paper applies a geo-additive generalized linear mixed model to describe the spatial variation in the prevalence of cough among children under 5 years of age using the 2000 Demographic and Health survey (DHS) data from Malawi. Of particular interest in the analysis were the small area effect of geographical locations (districts) where the child lives in the time of the survey and the effect of the metrical covariate (child's age) which was assumed to be nonlinear and estimated nonparametrically. The model included other categorical covariates in the usual parametric form. We assign appropriate priors, within a Bayesian context, for the geographical location, vector of the unknown nonlinear smooth functions and a further vector of fixed effect parameters. For example, the spatial effects were modelled via Bayesian prior specifications reflecting spatial heterogeneity globally and relative homogeneity among neighbouring districts, thus a Markov random field prior is assumed. Inference is fully Bayesian and uses recent Markov chain Monte Carlo techniques. Copyright (C) 2006 John Wiley & Sons, Ltd.
| Item Type: | Conference Item (Paper) | ||||
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| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > QA Mathematics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Population, Evidence & Technologies (PET) > Warwick Evidence Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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| Journal or Publication Title: | Applied Stochastic Models in Business and Industry | ||||
| Publisher: | John Wiley & Sons Ltd. | ||||
| ISSN: | 1524-1904 | ||||
| Official Date: | March 2006 | ||||
| Dates: |
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| Volume: | Vol.22 | ||||
| Number: | No.2 | ||||
| Number of Pages: | 16 | ||||
| Page Range: | pp. 139-154 | ||||
| DOI: | 10.1002/asmb.624 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | 7th World Meeting of the International Society for Bayesian Analysis | ||||
| Type of Event: | Other | ||||
| Location of Event: | Vina del Mar, Chile | ||||
| Date(s) of Event: | May 23-27, 2004 |
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