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Incorporating uncertainty and variability in the assessment of occupational hazards.
Bailer-AJ; Wheeler-M; Dankovic-D; Noble-R; Bena-J
Int J Risk Assess Manage 2005; 5(2-4):344-357
Uncertainty reflects ignorance associated with population traits (e.g. average exposure levels to a contaminant), with models used to predict risk (e.g. which statistical model is correct), and with a host of other considerations. Variability reflects an intrinsic property of a system (e.g. body mass indices possess a distribution across a population). The incorporation of uncertainty and variability in the assessment of occupational hazards is an important objective. General issues of uncertainty and variability in occupational risk estimation are discussed. This is followed by three illustrations where: firstly, the impact of variability in an exposure assessment and sampling variability in a regression model on risk estimates is considered; secondly, the impact of uncertainty in the size of a workforce on rate modelling is considered; and thirdly, the impact of using different models to predict risk is considered.
Risk-analysis; Models; Computer-models; Sampling; Exposure-assessment; Author Keywords: model averaging; PBPK models; rate modelling; risk estimation
Risk Evaluation Branch, Education and Information Division, National Institute for Occupational Safety and Health/CDC, 4676 Columbia Parkway, Cincinnati, OH 45226, USA
Issue of Publication
International Journal of Risk Assessment and Management
Page last reviewed: May 5, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division