Amplification of Bias Due to Exposure Measurement Error

Details

• Personal Author:
  Cole SR ; Keil AP ; Richardson DB
• Description:
  Observational epidemiologic studies typically face challenges of exposure measurement error and confounding. Consider an observational study of the association between a continuous exposure and an outcome, where the exposure variable of primary interest suffers from classical measurement error (i.e., the measured exposures are distributed around the true exposure with independent error). In the absence of exposure measurement error, it is widely recognized that one should control for confounders of the association of interest to obtain an unbiased estimate of the effect of that exposure on the outcome of interest. However, here we show that, in the presence of classical exposure measurement error, the net bias in an estimate of the association of interest may increase upon adjustment for confounders. We offer an analytical expression for calculating the change in net bias in an estimate of the association of interest upon adjustment for a confounder in the presence of classical exposure measurement error, and we illustrate this problem using simulations. [Description provided by NIOSH]
• Subjects:
  Cohort Studies Epidemiology Occupational Health Safety
• Keywords:
  Analytical Processes Author Keywords: Bias Cohort Studies Epidemiologic Methods Exposure Assessment Regression Analysis
• ISSN:
  0002-9262
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; North Carolina ; OSHA Region 4 ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  182-187
• Volume:
  191
• Issue:
  1
• NIOSHTIC Number:
  nn:20064546
• Citation:
  Am J Epidemiol 2022 Jan; 191(1):182-187
• Contact Point Address:
  Dr. David B. Richardson, Department of Environmental and Occupational Health, Program in Public Health, University California, Irvine, 653 East Peltason Drive, Anteater Instruction and Research Building, Room 2084, Irvine, CA 92697-3957
• Email:
  david.richardson@uci.edu
• Federal Fiscal Year:
  2022
• 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-512:21d29a51dd28d46517521e639cc7ccc3d6b63c681f994a6f84e23b104d09b13bde00dd9b2151deb3d6e98d59bd45c01576355bfbcdb21de590f4cfab6485c3a3
• Download URL:
  https://stacks.cdc.gov/view/cdc/222989/cdc_222989_DS1.pdf
• File Type:
  [PDF - 228.33 KB ]