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American Journal of Epidemiology
Article . 2011 . Peer-reviewed
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Remarks on Antagonism

Authors: Tyler J. VanderWeele; Mirjam J. Knol;

Remarks on Antagonism

Abstract

Different forms of antagonism are classified in terms of response types and are related to the sufficient-cause framework. These forms of antagonism include "synergy under recoding of an exposure," "synergism under recoding of the outcome," and so-called "competing response types," with synergism itself conceived of as causal co-action within the sufficient-cause framework. In this paper, the authors show that subadditivity necessarily implies at least one of these 3 forms of antagonism. Empirical conditions for specific forms of antagonism are given for settings in which monotonicity assumptions are and are not considered plausible. The implications of subadditivity and superadditivity for causal co-action for either an outcome or its absence are characterized under various assumptions about monotonicity. A simple computational procedure is described for assessing whether any specific form of causal co-action can be detected for either an outcome or its absence for both cohort and case-control data. The results in this paper are illustrated by application to examples drawn from the existing literature on gene-gene and gene-environment interactions.

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Keywords

Causality, Models, Statistical, Risk Factors, Odds Ratio, Humans, Environmental Exposure, Epidemiologic Methods

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
bronze