Quantifying the impact of unmeasured confounding in observational studies with the E value

Quantifying the impact of unmeasured confounding in observational studies with the E value

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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Veröffentlicht in:BMJ medicine 2023-05, Vol.2 (1), p.e000366-e000366
Hauptverfasser: Gaster, Tobias, Eggertsen, Christine Marie, Støvring, Henrik, Ehrenstein, Vera, Petersen, Irene
Format: Artikel
Sprache:eng
Schlagworte:
Epidemiology
Obstetrics
Pregnancy complications
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Zusammenfassung: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.
ISSN:2754-0413
2754-0413
DOI:10.1136/bmjmed-2022-000366