Measurement Errors in Occupational Epidemiology

Details

• Personal Author:
  Spiegelman D
• Description:
  The specific aim of this project was the development of new measurement error methods which would be applicable to retrospective cohort and cross sectional studies typically found in occupational epidemiology. The methods were to be easy to use and understand. The usefulness of the methods was demonstrated through an analysis of an important occupational data set, the ACE study of the relationship between health and occupational exposure to anticancer drugs. Work was also performed on developing a user friendly computer software system to implement these methods so as to encourage routine use by occupational epidemiologists. The major findings of the study were that exposure measurement error is often an important source of bias in occupational epidemiology and that methods are available to correct for these biases. The second significant finding was that the fully parametric maximum likelihood method is efficient and consistent if an empirically verified measurement error model is correctly specified. Semiparametric estimating equations are locally efficient and can be used to check for sensitivity of the results to measurement error model misspecification. Thirdly, it was determined that automatic differentiation is an easy to use indispensable tool for developing an error free code for finding the root of nonlinear equations, such as parametric estimating equations, or for finding the maximum of the log likelihood. [Description provided by NIOSH]
• Subjects:
  Antineoplastic Agents Epidemiology Occupational Exposure Occupational Health Risk Assessment Risk Factors Safety
• Keywords:
  Antineoplastic-agents Grants-other Mathematical-models NIOSH-Grant Occupational-exposure Risk-factors Statistical-analysis
• Series:
  Grant Final Reports
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Final Grant Report
• Place as Subject:
  Massachusetts ; OSHA Region 1
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OEP - Office of Extramural Programs
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-14
• NIOSHTIC Number:
  nn:00231886
• NTIS Accession Number:
  PB97-105662
• Citation:
  NIOSH 1995 Oct; :1-14
• Contact Point Address:
  Harvard University, School of Public Health, Department of Epidemiology and Biostatistics, 677 Huntington Avenue, Boston, MA 02115
• Federal Fiscal Year:
  1996
• NORA Priority Area:
  Grants Other
• Performing Organization:
  Harvard University, School of Public Health, Department of Epidemiology and Biostatistics, Boston, Massachusetts
• Peer Reviewed:
  False
• Start Date:
  19910701
• Source Full Name:
  National Institute for Occupational Safety and Health
• End Date:
  19950630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:f70198b25f59f7efeafabfb335d0518a32ce8dced7049457f2c4c24c750e085ae089e982b0826aba4d7d126c5cc2eca8760e656409164357aaeff74e5f9f276f
• Download URL:
  https://stacks.cdc.gov/view/cdc/217855/cdc_217855_DS1.pdf
• File Type:
  [PDF - 691.23 KB ]