A proposal for capturing interaction and effect modification using DAGs
Author:
Affiliation:
1. School of Medicine and Public Health, The University of Newcastle , NSW, Australia
2. Division of Medicine, Hunter New England Health Local Health District (HNELHD) , NSW, Australia
3. Hunter Medical Research Institute , NSW, Australia
Publisher
Oxford University Press (OUP)
Subject
General Medicine,Epidemiology
Link
https://academic.oup.com/ije/article-pdf/51/4/1047/45444277/dyac126.pdf
Reference11 articles.
1. Four types of effect modification: a classification based on directed acyclic graphs;VanderWeele;Epidemiology,2007
2. Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect;VanderWeele;Am J Epidemiol,2007
3. On the distinction between interaction and effect modification;VanderWeele;Epidemiology,2009
4. Can DAGs clarify effect modification?;Weinberg;Epidemiology,2007
5. Robust causal inference using directed acyclic graphs: the R package ‘dagitty’;Textor;Int J Epidemiol,2016
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