PT  - JOURNAL ARTICLE
AU  - Tobias Gaster
AU  - Christine Marie Eggertsen
AU  - Henrik Støvring
AU  - Vera Ehrenstein
AU  - Irene Petersen
TI  - Quantifying the impact of unmeasured confounding in observational studies with the E value
AID  - 10.1136/bmjmed-2022-000366
DP  - 2023 May 01
TA  - BMJ Medicine
PG  - e000366
VI  - 2
IP  - 1
4099  - http://bmjmedicine.bmj.com/content/2/1/e000366.short
4100  - http://bmjmedicine.bmj.com/content/2/1/e000366.full
SO  - bmjmed2023 May 01; 2
AB  - 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.Data sharing not applicable as no datasets generated and/or analysed for this study.