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Incorporating uncertainty and variability in the assessment of occupational hazards.

Authors
Bailer-AJ; Wheeler-M; Dankovic-D; Noble-R; Bena-J
Source
Int J Risk Assess Manage 2005 ; 5(2-4):344-357
NIOSHTIC No.
20029020
Abstract
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.
Keywords
Risk-analysis; Models; Computer-models; Sampling; Exposure-assessment
Contact
Risk Evaluation Branch, Education and Information Division, National Institute for Occupational Safety and Health/CDC, 4676 Columbia Parkway, Cincinnati, OH 45226, USA
CODEN
IJRABZ
Publication Date
20050101
Document Type
Journal Article
Email Address
baileraj@muohio.edu
Fiscal Year
2005
NTIS Accession No.
NTIS Price
Issue of Publication
2-4
ISSN
1466-8297
NIOSH Division
EID
Source Name
International Journal of Risk Assessment and Management
State
OH
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