Correcting for Bias in Relative Risk Estimates Due to Exposure Measurement Error: A Case Study of Occupational Exposure to Antineoplastics in Pharmacists

Details

• Personal Author:
  Spiegelman D ; Valanis B
• Description:
  This paper describes 2 statistical methods designed to correct for bias from exposure measurement error in point and interval estimates of relative risk. The first method takes the usual point and interval estimates of the log relative risk obtained from logistic regression and corrects them for nondifferential measurement error using an exposure measurement error model estimated from validation data. The second, likelihood-based method fits an arbitrary measurement error model suitable for the data at hand and then derives the model for the outcome of interest. Data from Valanis and colleagues' study of the health effects of antineoplastics exposure among hospital pharmacists were used to estimate the prevalence ratio of fever in the previous 3 months from this exposure. For an interdecile increase in weekly number of drugs mixed, the prevalence ratio, adjusted for confounding, changed from 1.06 to 1.17 (95% confidence interval [CI] = 1.04, 1.26) after correction for exposure measurement error. Exposure measurement error is often an important source of bias in public health research. Methods are available to correct such biases. [Description provided by NIOSH]
• Subjects:
  Antineoplastic Agents Epidemiology Occupational Exposure Occupational Health Risk Assessment Risk Factors Safety
• Keywords:
  Antineoplastic-agents Mathematical-models Occupational-exposure Risk-factors Statistical-analysis
• ISSN:
  0090-0036
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; OSHA Region 1
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  406-412
• Volume:
  88
• Issue:
  3
• NIOSHTIC Number:
  nn:20024390
• Citation:
  Am J Public Health 1998 Mar; 88(3):406-412
• Contact Point Address:
  Donna Spiegelman, ScD, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115
• Email:
  stdls@channing.harvard.edu
• Federal Fiscal Year:
  1998
• NORA Priority Area:
  Grants Other
• Performing Organization:
  Harvard University, School of Public Health, Department of Epidemiology and Biostatistics, Boston, Massachusetts
• Peer Reviewed:
  True
• Start Date:
  19910701
• Source Full Name:
  American Journal of Public Health
• End Date:
  19950630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2544a98676358edfed23b3e7030334f06745c0dce646fefa923d2354548ea2422b3403329fde56d8b30f983470896f5af04831d79537bcd3d929c6d21cf633a3
• Download URL:
  https://stacks.cdc.gov/view/cdc/196214/cdc_196214_DS1.pdf
• File Type:
  [PDF - 1.67 MB ]