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Multilevel and Clustering Analysis of Health Outcomes in Small Areas Export

European Journal of Population/Revue européenne de Démographie, Vol. 13, No. 4. (1 December 1997), pp. 305-338.

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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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