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Epidemiology:
doi: 10.1097/EDE.0b013e318245c4ac
Infectious Disease

A Mapping Between Interactions and Interference: Implications for Vaccine Trials

VanderWeele, Tyler J.a,b; Vandenbroucke, Jan P.c; Tchetgen Tchetgen, Eric J.a,b,d; Robins, James M.a,b

Erratum

Erratum

Reference

VanderWeele TJ, Vandenbroucke JP, Tchetgen Tchetgen EJ, Robins JM. A mapping between interactions and interference: Implications for vaccine trials. Epidemiology. 2012;23:285–292.

This article includes an editors' note referring the reader to a commentary on the article. There is, in fact, no published commentary on this paper.

Epidemiology. 23(3):507, May 2012.

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Abstract

In this paper, we discuss relationships between causal interactions within the counterfactual framework and interference in which the exposure of one person may affect the outcomes of another. We show that the empirical tests for causal interactions can, in fact, all be adapted to empirical tests for particular forms of interference. In the context of interference, by recoding the response as some function of the outcomes of the various persons within a cluster, a wide range of different forms of interference can potentially be detected. The correspondence between causal interactions and forms of interference extends to encompass n-way causal interactions, interference between n persons within a cluster, and multivalued exposures. The theory for causal interactions provides a complete conceptual apparatus for assessing interference as well. The results are illustrated using data from a hypothetical vaccine trial to reason about specific forms of interference and spillover effects that may be present in this vaccine setting. We discuss the implications of this correspondence for our conceptualizations of interaction and for application to vaccine trials and many other settings in which spillover effects may be present.

© 2012 Lippincott Williams & Wilkins, Inc.

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