Multilevel models and scientific progress in social epidemiology

Bingenheimer, Jeffrey B.
June 2005
Journal of Epidemiology & Community Health;Jun2005, Vol. 59 Issue 6, p438
Academic Journal
The article discusses the emergence of multilevel statistical models in social epidemiology. Social epidemiologists collectively seek to incorporate into their practices a comparatively new class of statistical models, referred to variously as multilevel, hierarchical, random effects and mixed models. Certainly these models have a great deal to offer, given the shared interest in exposures that occur at the community level but whose ultimate effects on health are mediated through physiological processes within individual bodies. In fact, multilevel models provide a highly flexible framework for studying a broad range of phenomena and social epidemiology has just begun to scratch the surface of their potential applications.


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