Gaster, Tobias;
Eggertsen, Christine Marie;
Støvring, Henrik;
Ehrenstein, Vera;
Petersen, Irene;
(2023)
Quantifying the impact of unmeasured confounding in observational studies with the E value.
BMJ Medicine
, 2
, Article e000366. 10.1136/bmjmed-2022-000366.
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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.
Type: | Article |
---|---|
Title: | Quantifying the impact of unmeasured confounding in observational studies with the E value |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1136/bmjmed-2022-000366 |
Publisher version: | http://doi.org/10.1136/bmjmed-2022-000366 |
Language: | English |
Additional information: | © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health |
URI: | https://discovery.ucl.ac.uk/id/eprint/10170523 |
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