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A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon
Journal of Epidemiology & Community Health · 2005 · Vol. 59(6) · pp. 443–449
Juan Merlo✉(Malmö University)Basile Chaix(National Institute of Health)Min Yang(Queen Mary University of London)John Lynch(University of Michigan–Ann Arbor)Lennart Råstam(Malmö University)
Abstract
The statistical idea of clustering emerges as appropriate for quantifying "contextual phenomena" that is of central relevance in social epidemiology. Both concepts convey that people from the same neighbourhood are more similar to each other than to people from different neighbourhoods with respect to the health outcome variable.
Health disparities and outcomesPsychological Well-being and Life SatisfactionObesity, Physical Activity, DietNeighbourhood (mathematics)Intraclass correlationPhenomenonMultilevel modelSocial epidemiologyCluster analysisConceptual frameworkEpidemiologyHierarchical clusteringData science
MeSH terms
AdultEpidemiologic MethodsHealth StatusHumansMiddle AgedRegression AnalysisResidence CharacteristicsSociology, MedicalModels, StatisticalCluster Analysis
Funding
- Forskningsrådet för Arbetsliv och Socialvetenskap
Citations
676
FWCI
13.72
field-weighted impact
References
58
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99%
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