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

•ROBINS-E is a new tool to assess risk of bias in an observational study.•The tool addresses an estimate of the effect of an exposure on an outcome.•An assessment covers potential biases in seven bias domains.•A judgement on risk of bias and a predicted direction of bias are produced. Observational...

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Veröffentlicht in:	Environment international Jg. 186; S. 108602
Hauptverfasser:	Higgins, Julian P.T., Morgan, Rebecca L., Rooney, Andrew A., Taylor, Kyla W., Thayer, Kristina A., Silva, Raquel A., Lemeris, Courtney, Akl, Elie A., Bateson, Thomas F., Berkman, Nancy D., Glenn, Barbara S., Hróbjartsson, Asbjørn, LaKind, Judy S., McAleenan, Alexandra, Meerpohl, Joerg J., Nachman, Rebecca M., Obbagy, Julie E., O'Connor, Annette, Radke, Elizabeth G., Savović, Jelena, Schünemann, Holger J., Shea, Beverley, Tilling, Kate, Verbeek, Jos, Viswanathan, Meera, Sterne, Jonathan A.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier Ltd 01.04.2024 Elsevier
Schlagworte:	Bias Cohort Studies Confounding environment Environmental Environmental Exposure - statistics & numerical data Epidemiologic Studies epidemiological studies Epidemiology Exposure exposure assessment Follow-Up Studies human health Humans issues and policy Misclassification/measurement bias observational studies Observational Studies as Topic public health risk Risk Assessment - methods Risk of bias Selection bias Environmental Risk of bias Misclassification/measurement bias Confounding Selection bias Exposure Epidemiology
ISSN:	0160-4120, 1873-6750, 1873-6750
Online-Zugang:	Volltext
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