Literature DB >> 33305812

Defining, Quantifying, and Interpreting "Noncollapsibility" in Epidemiologic Studies of Measures of "Effect".

Brian W Whitcomb, Ashley I Naimi.   

Abstract

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Year:  2021        PMID： 33305812      PMCID： PMC8530151          DOI： 10.1093/aje/kwaa267

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN： 0002-9262            Impact factor:   4.897


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  4 in total

Review 1.  Commonalities in the classical, collapsibility and counterfactual concepts of confounding.

Authors:  Stephen C Newman
Journal:  J Clin Epidemiol       Date:  2004-04       Impact factor: 6.437

2.  Studying noncollapsibility of the odds ratio with marginal structural and logistic regression models.

Authors:  Menglan Pang; Jay S Kaufman; Robert W Platt
Journal:  Stat Methods Med Res       Date:  2013-10-09       Impact factor: 3.021

3.  Estimating Risk Ratios and Risk Differences Using Regression.

Authors:  Ashley I Naimi; Brian W Whitcomb
Journal:  Am J Epidemiol       Date:  2020-03-27       Impact factor: 4.897

4.  Confounding: essence and detection.

Authors:  O S Miettinen; E F Cook
Journal:  Am J Epidemiol       Date:  1981-10       Impact factor: 4.897
  4 in total

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