Defining, Quantifying, and Interpreting “Noncollapsibility” in Epidemiologic Studies of Measures of “Effect”
Author:
Abstract
Funder
National Institutes of Health
Publisher
Oxford University Press (OUP)
Subject
Epidemiology
Link
http://academic.oup.com/aje/advance-article-pdf/doi/10.1093/aje/kwaa267/36677472/kwaa267.pdf
Reference6 articles.
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2. Commonalities in the classical, collapsibility and counterfactual concepts of confounding;Newman;J Clin Epidemiol,2004
3. Confounding and collapsibility in causal inference;Greenland;Statist Sci,1999
4. Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models;Pang;Stat Methods Med Res,2016
5. Estimating risk ratios and risk differences using regression;Naimi;Am J Epidemiol,2020
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