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Instrumental variable analyses: exploiting natural randomness to understand causal mechanisms
Annals of the American Thoracic Society (2013)
  • Theodore J Iwashyna, University of Michigan
  • Edward H. Kennedy, University of Pennsylvania
Abstract

Instrumental variable analysis is a technique commonly used in the social sciences to provide evidence that a treatment causes an outcome, as contrasted with evidence that a treatment is merely associated with differences in an outcome. To extract such strong evidence from observational data, instrumental variable analysis exploits situations where some degree of randomness affects how patients are selected for a treatment. An instrumental variable is a characteristic of the world that leads some people to be more likely to get the specific treatment we want to study but does not otherwise change thosepatients’ outcomes. This seminar explains, in nonmathematical language, the logic behind instrumental variable analyses, including several examples. It also provides three key questions that readers of instrumental variable analyses should ask to evaluate the quality of the evidence. (1) Does the instrumental variable lead to meaningful differences in the treatment being tested? (2) Other than through the specific treatment being tested, is there any other way the instrumental variable could influence the outcome? (3) Does anything cause patients to both receive the instrumental variable and receive the outcome?

Keywords
  • causal analysis,
  • observational data,
  • instrumental variable analysis,
  • randomized controlled trials,
  • demystifying data
Publication Date
2013
Citation Information
Theodore J Iwashyna and Edward H. Kennedy. "Instrumental variable analyses: exploiting natural randomness to understand causal mechanisms" Annals of the American Thoracic Society Vol. 10 Iss. 3 (2013)
Available at: http://works.bepress.com/ehkennedy/5/