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:

Series: Oxford Psychiatry Series

Assessing Heterogeneity of Effects

More Like This

Show all results sharing these subjects:

  • Public Health and Epidemiology
  • Medical Statistics and Methodology


Show Summary Details


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.  4428 words.  Illustrated.

Subjects: Public Health and Epidemiology ; Medical Statistics and Methodology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.