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Measurement Errors in Occupational Epidemiology. Final Report.


PB97105662

Publication Date 1995
Personal Author Fleming, R.
Page Count 20
Abstract The specific aim of the project was the development of new measurement error methods which would be applicable to retrospective cohort and cross sectional studies typically found in occupational eqidemiology. 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 epidemioligists. 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.
Keywords
  • Epidemiology
  • Occupational safety and health
  • Statistical analysis
  • Risk factors
  • Occupational exposure
  • Antineoplastic agents
  • Mathematical models
Source Agency
  • National Institute for Occupational Safety and Health
NTIS Subject Category
  • 57U - Public Health & Industrial Medicine
  • 68G - Environmental Health & Safety
  • 94H - Industrial Safety Engineering
Corporate Authors Harvard School of Public Health, Boston, MA. Dept. of Epidemiology.; National Inst. for Occupational Safety and Health, Cincinnati, OH.
Supplemental Notes Sponsored by National Inst. for Occupational Safety and Health, Cincinnati, OH.
Document Type Technical Report
NTIS Issue Number 199701
Measurement Errors in Occupational Epidemiology. Final Report.
Measurement Errors in Occupational Epidemiology. Final Report.
PB97105662

  • Epidemiology
  • Occupational safety and health
  • Statistical analysis
  • Risk factors
  • Occupational exposure
  • Antineoplastic agents
  • Mathematical models
  • National Institute for Occupational Safety and Health
  • 57U - Public Health & Industrial Medicine
  • 68G - Environmental Health & Safety
  • 94H - Industrial Safety Engineering
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