Multilevel and Clustering Analysis of Health Outcomes in Small Areas |
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Authors: | Peter Congdon |
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Institution: | (1) Department of Epidemiology, Imperial College School of Medicine, Norfolk Place, London, W2 1PG;(2) Barking and Havering Health Authority, Directorate of Public Health, The Clock House, East St, Barking, IG11 8EY Essex |
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Abstract: | This paper considers models of the variable incidence of health outcomes in geographical areas and of variable regression effects of socio-economic variables on such outcomes. It adopts a Bayesian approach to variation in relative risk and regression effects, and assesses different prior specifications of risk (e.g. a latent class structure versus a spatially correlated structure). Implications are considered for smoothing and mapping rare health outcomes. The analysis is for electoral wards in London, with the health-deprivation link forming the focus for regression effects. Implications for inferences about risk factors and for health-need ratings (before and after smoothing) are also considered. |
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