Reading and conducting instrumental variable studies: guide, glossary, and checklist
Venexia Walker, Eleanor Sanderson, Michael G. Levin, Scott M Damraurer, Timothy Feeney, Neil M Davies
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.
Topics & Concepts
GlossaryChecklistReading (process)Computer scienceInstrumental variableData scienceInformation retrievalPsychologyLinguisticsCognitive psychologyMachine learningPhilosophyAdvanced Causal Inference TechniquesStatistical Methods and InferenceHealth Systems, Economic Evaluations, Quality of Life