Multilevel and Clustering Analysis of Health Outcomes in Small Areas Export

@article{citeulike:3042538, 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.}, author = {Congdon, Peter}, citeulike-article-id = {3042538}, citeulike-linkout-0 = {http://dx.doi.org/10.1023/A:1005937516293}, doi = {10.1023/A:1005937516293}, journal = {European Journal of Population/Revue europ\'{e}enne de D\'{e}mographie}, keywords = {area, health, multilevel, small}, month = {December}, number = {4}, pages = {305--338}, posted-at = {2008-07-25 12:58:37}, priority = {2}, title = {Multilevel and Clustering Analysis of Health Outcomes in Small Areas}, url = {http://dx.doi.org/10.1023/A:1005937516293}, volume = {13}, year = {1997} }

TY - JOUR ID - citeulike:3042538 L3 - citeulike-article-id:3042538 N2 - 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. IS - 4 JF - European Journal of Population/Revue européenne de Démographie EP - 338 TI - Multilevel and Clustering Analysis of Health Outcomes in Small Areas VL - 13 SP - 305 KW - area KW - health KW - multilevel KW - small AU - Congdon, Peter PY - 1997/12/01/ UR - http://dx.doi.org/10.1023/A:1005937516293 ER -