Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Sep;25(5):749-61.
doi: 10.1097/EDE.0000000000000121.

A unification of mediation and interaction: a 4-way decomposition

Affiliations

A unification of mediation and interaction: a 4-way decomposition

Tyler J VanderWeele. Epidemiology. 2014 Sep.

Erratum in

Abstract

The overall effect of an exposure on an outcome, in the presence of a mediator with which the exposure may interact, can be decomposed into 4 components: (1) the effect of the exposure in the absence of the mediator, (2) the interactive effect when the mediator is left to what it would be in the absence of exposure, (3) a mediated interaction, and (4) a pure mediated effect. These 4 components, respectively, correspond to the portion of the effect that is due to neither mediation nor interaction, to just interaction (but not mediation), to both mediation and interaction, and to just mediation (but not interaction). This 4-way decomposition unites methods that attribute effects to interactions and methods that assess mediation. Certain combinations of these 4 components correspond to measures for mediation, whereas other combinations correspond to measures of interaction previously proposed in the literature. Prior decompositions in the literature are in essence special cases of this 4-way decomposition. The 4-way decomposition can be carried out using standard statistical models, and software is provided to estimate each of the 4 components. The 4-way decomposition provides maximum insight into how much of an effect is mediated, how much is due to interaction, how much is due to both mediation and interaction together, and how much is due to neither.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Mediation with exposure A, outcome Y, mediator M, and confounders C.
Figure 2
Figure 2
Mediation with a mediator-outcome confounder L that is affected by the exposure.
Figure 3
Figure 3
The four-fold decomposition encompasses both decompositions for mediation and interaction. For interaction, the reference interaction (INTref) and the mediated interaction (INTmed) combine to the portion attributable to interaction (PAI). The portion attributable to interaction (PAI) combine with the controlled direct effect (CDE) and the pure indirect effect (PIE) to give the total effect (TE). For mediation, the controlled direct effect and the reference interaction (INTref) combine to give the pure direct effect (PDE); the pure indirect effect (PIE) combines with the mediated interaction (INTmed) to give the total indirect effect (TIE); and the pure direct effect (PDE) combines with total indirect effect (TIE) to give the total effect (TE).
Figure 4
Figure 4
As an alternative mediation decomposition, the controlled direct effect and the reference interaction (INTref) combine to give the pure direct effect (PDE); the pure direct effect (PDE) and the mediated interaction (INTmed) combine to give the total direct effect (TDE); and the total direct effect (TDE) and the pure indirect effect (PIE) combine to give the total effect (TE).
Figure 5
Figure 5
As an alternative mediation decomposition, the difference between the total effect (TE) and the controlled direct effect (PE) is sometimes called the portion eliminated (PE) and it is equal to the sum of the reference interaction (INTref), the mediated interaction (INTmed), and the pure indirect effect (PIE).

Similar articles

Cited by

References

    1. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3:143–155. - PubMed
    1. Pearl J. Direct and indirect effects. Proceedings of the Seventeenth Conference on Uncertainty and Artificial Intelligence; San Francisco: Morgan Kaufmann; 2001. pp. 411–420.
    1. Avin C, Shpitser I, Pearl J. Identifiability of path-specific effects. Proceedings of the International Joint Conferences on Artificial Intelligence; 2005. pp. 357–363.
    1. VanderWeele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition. Statistics and Its Interface - Special Issue on Mental Health and Social Behavioral Science. 2009;2:457–468.
    1. VanderWeele TJ, Vansteelandt S. Odds ratios for mediation analysis with a dichotomous outcome. American Journal of Epidemiology. 2010;172:1339–1348. - PMC - PubMed

Publication types