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Quantifying the impact of unmeasured confounding in observational studies with the E value.
Gaster, Tobias; Eggertsen, Christine Marie; Støvring, Henrik; Ehrenstein, Vera; Petersen, Irene.
Affiliation
  • Gaster T; Aarhus University, Aarhus, Denmark.
  • Eggertsen CM; Aarhus University, Aarhus, Denmark.
  • Støvring H; Steno Diabetes Centre Aarhus, Aarhus, Denmark.
  • Ehrenstein V; Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark.
  • Petersen I; Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
BMJ Med ; 2(1): e000366, 2023.
Article in En | MEDLINE | ID: mdl-37159620
ABSTRACT
The E value method deals with unmeasured confounding, a key source of bias in observational studies. The E value method is described and its use is shown in a worked example of a meta-analysis examining the association between the use of antidepressants in pregnancy and the risk of miscarriage.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies Language: En Journal: BMJ Med Year: 2023 Document type: Article
Fulltext
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies Language: En Journal: BMJ Med Year: 2023 Document type: Article