A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)

Background: Observational epidemiologic studies provide critical data for the evaluation of the potential effects of environmental, occupational and behavioural exposures on human health. Systematic reviews of these studies play a key role in informing policy and practice. Systematic reviews should...

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Main Authors:	Julian P.T. Higgins, Rebecca L. Morgan, Andrew A. Rooney, Kyla W. Taylor, Kristina A. Thayer, Raquel A. Silva, Courtney Lemeris, Elie A. Akl, Thomas F. Bateson, Nancy D. Berkman, Barbara S. Glenn, Asbjørn Hróbjartsson, Judy S. LaKind, Alexandra McAleenan, Joerg J. Meerpohl, Rebecca M. Nachman, Julie E. Obbagy, Annette O'Connor, Elizabeth G. Radke, Jelena Savović, Holger J. Schünemann, Beverley Shea, Kate Tilling, Jos Verbeek, Meera Viswanathan, Jonathan A.C. Sterne
Format:	Article
Language:	English
Published:	Elsevier 2024-04-01
Series:	Environment International
Subjects:	Risk of bias Confounding Selection bias Misclassification/measurement bias Exposure Epidemiology
Online Access:	http://www.sciencedirect.com/science/article/pii/S0160412024001880

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http://www.sciencedirect.com/science/article/pii/S0160412024001880

A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E)

Internet

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