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

被引：17
|
作者：
Gaster, Tobias [1 ]
Eggertsen, Christine Marie [1 ]
Stovring, Henrik [2 ,3 ]
Ehrenstein, Vera [4 ,5 ]
Petersen, Irene [4 ,5 ,6 ]
机构：
[1] Aarhus Univ, Aarhus, Denmark
[2] Steno Diabet Ctr Aarhus, Aarhus, Denmark
[3] Univ Southern Denmark, Clin Pharmacol Pharm & Environm Med, Odense, Denmark
[4] Aarhus Univ, Dept Clin Epidemiol, DK-8000 Aarhus, Denmark
[5] Aarhus Univ Hosp, Aarhus, Denmark
[6] UCL, Dept Primary Care & Populat Hlth, London, England
来源：
BMJ MEDICINE | 2023年 / 2卷 / 01期
关键词：
Pregnancy complications; Epidemiology; Obstetrics; SEROTONIN REUPTAKE INHIBITORS; SENSITIVITY-ANALYSIS; MISCARRIAGE; PREGNANCY; RISK;
D O I：
10.1136/bmjmed-2022-000366
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
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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页数：5
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