Document Detail


A three-way decomposition of a total effect into direct, indirect, and interactive effects.
MedLine Citation:
PMID:  23354283     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Recent theory in causal inference has provided concepts for mediation analysis and effect decomposition that allow one to decompose a total effect into a direct and an indirect effect. Here, it is shown that what is often taken as an indirect effect can in fact be further decomposed into a "pure" indirect effect and a mediated interactive effect, thus yielding a three-way decomposition of a total effect (direct, indirect, and interactive). This three-way decomposition applies to difference scales and also to additive ratio scales and additive hazard scales. Assumptions needed for the identification of each of these three effects are discussed and simple formulae are given for each when regression models allowing for interaction are used. The three-way decomposition is illustrated by examples from genetic and perinatal epidemiology, and discussion is given to what is gained over the traditional two-way decomposition into a direct and an indirect effect.
Authors:
Tyler J VanderWeele
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Epidemiology (Cambridge, Mass.)     Volume:  24     ISSN:  1531-5487     ISO Abbreviation:  Epidemiology     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-02-04     Completed Date:  2013-07-23     Revised Date:  2014-03-06    
Medline Journal Info:
Nlm Unique ID:  9009644     Medline TA:  Epidemiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  224-32     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Causality*
Confounding Factors (Epidemiology)
Humans
Models, Statistical*
Statistics as Topic / methods*
Treatment Outcome
Grant Support
ID/Acronym/Agency:
ES017876/ES/NIEHS NIH HHS; HD060696/HD/NICHD NIH HHS; R01 ES017876/ES/NIEHS NIH HHS
Comments/Corrections

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