Publication | Open Access
Quantifying the impact of unmeasured confounding in observational studies with the E value
53
Citations
15
References
2023
Year
Unmeasured ConfoundingTreatment EffectPharmacotherapyCausal InferenceNegative ResultAdverse EventBiasE Value MethodRandomized Controlled TrialPublic HealthRetrospective Cohort StudyStatisticsObservational StudiesMeta-analysisPsychiatryDepressionOutcomes ResearchMaternal HealthEpidemiologySide EffectE ValueDrug TrialMedicine
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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