A Bespoke Instrumental Variable Approach to Correction for Exposure Measurement Error

Details

• Personal Author:
  Cole SR ; Edwards JK ; Keil AP ; Richardson DB ; Tchetgen EJ
• Description:
  A covariate-adjusted estimate of an exposure-outcome association may be biased if the exposure variable suffers measurement error. We propose an approach to correct for exposure measurement error in a covariate-adjusted estimate of the association between a continuous exposure variable and outcome of interest. Our proposed approach requires data for a reference population in which the exposure was a priori set to some known level (e.g., 0, and is therefore unexposed); however, our approach does not require an exposure validation study or replicate measures of exposure, which are typically needed when addressing bias due to exposure measurement error. A key condition for this method, which we refer to as "partial population exchangeability," requires that the association between a measured covariate and outcome in the reference population equals the association between that covariate and outcome in the target population in the absence of exposure. We illustrate the approach using simulations and an example. [Description provided by NIOSH]
• Subjects:
  Cohort Studies Epidemiology Occupational Health Safety
• Keywords:
  Author Keywords: Bias Cohort Studies Epidemiologic Methods Exposure Assessment Regression Analysis Statistical Quality Control
• ISSN:
  0002-9262
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; North Carolina ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 9 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  191
• Issue:
  11
• NIOSHTIC Number:
  nn:20067185
• Citation:
  Am J Epidemiol 2022 Nov; 191(11):1954-1961
• Contact Point Address:
  Dr. David Richardson, Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, 100 Theory, Suite 100, Irvine, CA 92697
• Email:
  david.richardson@uci.edu
• Federal Fiscal Year:
  2023
• Performing Organization:
  University of North Carolina-Chapel Hill
• Peer Reviewed:
  True
• Start Date:
  20190801
• Source Full Name:
  American Journal of Epidemiology
• End Date:
  20220731
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:6ee9316a0e4e80b02702ff249f7f87882e6c066c8aef70159a4879f420c83c06fb061e131cb07ea3d7d6662a20b63b41b927ed380875167b2eda7411ba582225
• Download URL:
  https://stacks.cdc.gov/view/cdc/231324/cdc_231324_DS1.pdf
• File Type:
  [PDF - 301.05 KB ]