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Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations.

Authors :
Brown JP
Hunnicutt JN
Ali MS
Bhaskaran K
Cole A
Langan SM
Nitsch D
Rentsch CT
Galwey NW
Wing K
Douglas IJ
Source :
BMJ (Clinical research ed.) [BMJ] 2024 Apr 02; Vol. 385, pp. e076365. Date of Electronic Publication: 2024 Apr 02.
Publication Year :
2024

Abstract

Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at https://www.icmje.org/disclosure-of-interest/ and declare: AC, NWG, and JNH were paid employees of GSK at the time of the submitted work; AC, IJD, NWG, and JNH own shares in GSK; AC is currently a paid employee of McKesson Corporation in a role unrelated to the submitted work; JNH is currently a paid employee of Boehringer Ingelheim in a role unrelated to this work; DN is UK Kidney Association Director of Informatics Research; JPB was funded by a GSK studentship received by IJD and reports unrelated consultancy work for WHO Europe and CorEvitas; SML has received unrelated grants with industry collaborators from IMI Horizon, but no direct industry funding; all authors report no other relationships or activities that could appear to have influenced the submitted work.

Subjects

Subjects :
Humans
Epidemiologic Studies
Bias

Details

Language :
English
ISSN :
1756-1833
Volume :
385
Database :
MEDLINE
Journal :
BMJ (Clinical research ed.)
Publication Type :
Academic Journal
Accession number :
38565248
Full Text :
https://doi.org/10.1136/bmj-2023-076365