Multilevel and Clustering Analysis of Health Outcomes in Small Areas

Peter Congdon
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Peter Congdon: Imperial College School of Medicine

European Journal of Population, 1997, vol. 13, issue 4, No 1, 305-338

Abstract: 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.

Keywords: Relative Risk; Health Outcome; Cluster Analysis; Regression Effect; Geographical Area (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1023/A:1005937516293

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