Exposure models for the prior distribution in Bayesian decision analysis for occupational hygiene decision making
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2013/02/01
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Description:This study introduces two semi-quantitative methods, Structured Subjective Assessment (SSA) and Control of Substances Hazardous to Health (COSHH) Essentials, in conjunction with 2-dimensional Monte Carlo simulations for determining prior probabilities. Prior distribution using expert judgment was included for comparison. Practical applications of the proposed methods were demonstrated using personal exposure measurements of isoamyl acetate in an electronics manufacturing facility and of isopropanol in a printing shop. Applicability of these methods in real workplaces was discussed based on the advantages and disadvantages of each method. Although these methods could not be completely independent of expert judgments, this study demonstrated a methodological improvement in the estimation of the prior distribution for the Bayesian decision analysis tool. The proposed methods provide a logical basis for the decision process by considering determinants of worker exposure. [Description provided by NIOSH]
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ISSN:1545-9624
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Pages in Document:97-108
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Volume:10
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Issue:2
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NIOSHTIC Number:nn:20041817
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Citation:J Occup Environ Hyg 2013 Feb; 10(2):97-108
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Contact Point Address:Eun Gyung Lee, NIOSH, HELD, 1095 Willowdale Road, Room 3030, Morgantown, WV 26505
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Email:dtq5@cdc.gov
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Federal Fiscal Year:2013
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Peer Reviewed:True
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Source Full Name:Journal of Occupational and Environmental Hygiene
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Main Document Checksum:urn:sha-512:cab74994556353e553e6a50258559c6ebf93806d3386f488a5a7ef6457a7abba802903444739e6f930b6c08a2d84eb5500969460822d2f7d4731ec53c2874785
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