BMJ Medicine (Jul 2023)

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

  • Irene Petersen,
  • Vera Ehrenstein,
  • Henrik Støvring,
  • Tobias Gaster,
  • Christine Marie Eggertsen

DOI
https://doi.org/10.1136/bmjmed-2022-000366
Journal volume & issue
Vol. 2, no. 1

Abstract

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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.