Reading and conducting instrumental variable studies: guide, glossary, and checklist

Instrumental variable analysis uses naturally occurring variation to estimate the causal effects of treatments, interventions, and risk factors on outcomes in the population from observational data. Under specific assumptions, instrumental variable methods can provide unbiased estimates of causal ef...

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Bibliographic Details
Published in:BMJ (Online) Vol. 387; p. e078093
Main Authors: Walker, Venexia, Sanderson, Eleanor, Levin, Michael G, Damraurer, Scott M, Feeney, Timothy, Davies, Neil M
Format: Journal Article
Language:English
Published: England British Medical Journal Publishing Group 14.10.2024
BMJ Publishing Group LTD
Subjects:
Cardiovascular disease
Checklist
Clinical outcomes
Datasets
Decision making
Electronic health records
Estimates
Family physicians
Humans
Intervention
Medical records
Medical research
Mortality
Nicotine
Patients
Population studies
Reading
Research Design - standards
Research methodology
Research Methods & Reporting
Risk factors
Smoking cessation
Surgeons
Terminology as Topic
Variables
ISSN:1756-1833, 1756-1833
Online Access:Get full text
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Summary:Instrumental variable analysis uses naturally occurring variation to estimate the causal effects of treatments, interventions, and risk factors on outcomes in the population from observational data. Under specific assumptions, instrumental variable methods can provide unbiased estimates of causal effects. This article explains these assumptions and the information and tests typically reported in instrumental variable studies, which can assess the credibility of the findings of instrumental variable studies.
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ISSN:1756-1833
1756-1833
DOI:10.1136/bmj-2023-078093