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

Year: 2024
Type: article
Abstract: 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.
Source: BMJ
DOI: 10.1136/bmj-2023-078093
Authors: Venexia Walker, Eleanor Sanderson, Michael G Levin, Scott M Damraurer, Timothy Feeney, Neil M Davies
Institutions: University of Bristol, MRC Integrative Epidemiology Unit, Philadelphia VA Medical Center, University of Pennsylvania, University of North Carolina at Chapel Hill, Norwegian University of Science and Technology, University College London
Language: English
Open Access status: hybrid
OpenAlex ID: W4403394643
FWCI: 9.22
Cites: 56
Cited by: 28
Related to: 10