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A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena

Journal of Epidemiology & Community Health · 2006 · Vol. 60(4) · pp. 290–297
Juan MerloBasile ChaixHenrik OhlssonAnders BeckmanKristina JohnellPer HjerpeL RåstamK Larsen

Abstract

Measures of variation in logistic regression should be promoted in social epidemiological and public health research as efficient means of quantifying the importance of the context of residence for understanding disparities in health and health related behaviour.

Health disparities and outcomesMental Health Research TopicsUrban, Neighborhood, and Segregation StudiesLogistic regressionMedicineMultilevel modelResidenceEpidemiologyOdds ratioDemographyIntraclass correlationStatisticsOdds

MeSH terms

AdolescentAdultAgedAged, 80 and overEpidemiologic MethodsFemaleHumansMaleMiddle AgedRegression AnalysisSociology, MedicalSwedenCluster Analysis
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