What question did this study set out to answer?

The central aim is to clarify the differences between interaction and effect modification in statistical analyses.

November 1, 2009

On the Distinction Between Interaction and Effect Modification

Key Points

The central aim is to clarify the differences between interaction and effect modification in statistical analyses.
Provides formal definitions of interaction and effect modification within the counterfactual framework.
Uses examples to illustrate settings where interaction and effect modification differ or coincide.
Compares analytic procedures for estimating parameters using marginal structural models.
Effect modification can occur independently of interaction, and vice versa.
Identifies unique settings for assessing either interaction or effect modification.
Clarifies conditions under which interaction and effect modification parameters align.

Abstract

This paper contrasts the concepts of interaction and effect modification using a series of examples. Interaction and effect modification are formally defined within the counterfactual framework. Interaction is defined in terms of the effects of 2 interventions whereas effect modification is defined in terms of the effect of one intervention varying across strata of a second variable. Effect modification can be present with no interaction; interaction can be present with no effect modification. There are settings in which it is possible to assess effect modification but not interaction, or to assess interaction but not effect modification. The analytic procedures for obtaining estimates of effect modification parameters and interaction parameters using marginal structural models are compared and contrasted. A characterization is given of the settings in which interaction and effect modification coincide.

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