Chapter

Assessing Heterogeneity of Effects

Ezra Susser, Sharon Schwartz, Alfredo Morabia and Evelyn J. Bromet

in Psychiatric Epidemiology

Published in print July 2006 | ISBN: 9780195101812
Published online September 2009 | e-ISBN: 9780199864096 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195101812.003.27

Series: Oxford Psychiatry Series

Assessing Heterogeneity of Effects

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This chapter introduces methods frequently used in epidemiology to assess statistical heterogeneity of effect in the studied sample. As in the case of confounding, the main analytic methods include stratification and statistical modeling. It first defines additive and multiplicative interaction. It then describes methods based on stratification: comparing homogeneity across strata of the effect modifier, comparing the expected and observed joint effect of two factors, or using graphical representation of interaction. It also briefly indicates methods that allow the testing of the statistical significance of apparently heterogeneous effects. Finally, the chapter introduces statistical modeling of interaction by logistic regression.

Keywords: epidemiology; stratification; statistical modeling; heterogeneous effects

Chapter.  4322 words.  Illustrated.

Subjects: Public Health and Epidemiology

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