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.

引用

页数：5

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