Quantifying the impact of unmeasured confounding in observational studies with the E value
Tobias Gaster, Christine Marie Eggertsen, Henrik Støvring, Véra Ehrenstein, Irene Petersen
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.
Topics & Concepts
Observational studyConfoundingMiscarriageValue (mathematics)MedicineStatisticsEconometricsPregnancyMathematicsGeneticsBiologyMaternal Mental Health During Pregnancy and PostpartumPregnancy and Medication ImpactPregnancy and preeclampsia studies