Method for analyzing left-censored bioassay data in large cohort studies

Details

• Personal Author:
  Anderson, Jeri L. ; Apostoaei AI
• Description:
  In retrospective epidemiological studies of large cohorts of workers exposed to radioactive materials, it is often necessary to analyze large numbers of bioassay data sets containing censored values, or values recorded as less than a detection limit. Censored bioassay data create problems for all bioassay analysis methods, including analytical techniques based on least-squares regression to estimate intakes. A method is presented here that uses a simple empirically-derived equation for imputing replacement values for urine uranium concentration results reported as zero or less than a detection limit, that produces minimal bias in intakes estimated using least-square regression methods with the assumption of lognormally distributed measurement errors. [Description provided by NIOSH]
• Subjects:
  Biological Assay Epidemiology Morbidity Mortality Occupational Health Radiation Safety Software Uranium Urine
• Keywords:
  Analytical-processes Author Keywords: Left-censored Data Bioassays Censored Bioassay Data Computer-models Computer-software Detection Limit Exposure-levels Exposure-limits Intake Estimation Mathematical-models Morbidity-rates Mortality-rates Radioactive-materials Statistical-analysis Uranium-compounds Uranium-ore Urinalysis

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• ISSN:
  1559-0631
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Ohio ; OSHA Region 4 ; OSHA Region 5 ; Tennessee
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSHEFS - Division of Surveillance, Hazard Evaluations, and Field Studies
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-6
• Volume:
  27
• Issue:
  1
• NIOSHTIC Number:
  nn:20046247
• Citation:
  J Expo Sci Environ Epidemiol 2017 Jan/Feb; 27(1):1-6
• Contact Point Address:
  Jeri L. Anderson, NIOSH, 1090 Tusculum Avenue, MS R-14, Cincinnati, OH 45226, USA
• Email:
  JLAnderson@cdc.gov
• CAS Registry Number:
  Uranium (CAS RN 7440-61-1)
• Federal Fiscal Year:
  2017
• NORA Priority Area:
  Manufacturing
• Peer Reviewed:
  True
• Source Full Name:
  Journal of Exposure Science and Environmental Epidemiology
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d0ea18a8b5191e109cdd546d30d8096f6fdc380e8b06c7e2db588c25822ff624d6efd430c16ecd700cc9fd4a1d4a2f97101e4253d579e2f975b1023274f23c98
• Download URL:
  https://stacks.cdc.gov/view/cdc/201356/cdc_201356_DS1.pdf
• File Type:
  [PDF - 183.93 KB ]