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Quantifying the impact of unmeasured confounding in observational studies with the E value
- Correspondence to Dr Irene Petersen, Department of Clinical Epidemiology, Aarhus University, 8000 Aarhus, Denmark; i.petersen{at}ucl.ac.uk
Citation
Quantifying the impact of unmeasured confounding in observational studies with the E value
Publication history
- Received September 12, 2022
- Accepted March 21, 2023
- First published May 4, 2023.
Online issue publication
February 09, 2024
Supplementary Data
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© 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/.