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dc.contributor.authorSchleier, Jerome Joseph IIIen
dc.contributor.authorMarshall, Lucyen
dc.contributor.authorDavis, Ryanen
dc.contributor.authorPeterson, Robert K. D.en
dc.date.accessioned2015-03-24T18:49:44Zen
dc.date.available2015-03-24T18:49:44Zen
dc.date.issued2015-01en
dc.identifier.citationSchleier III, Jerome J., Lucy A. Marshall, Ryan S. Davis, and Robert K.D. Peterson. "Quantitative Approach for Integrating Multiple Lines of Evidence for the Evaluation of Environmental Health Risks." PeerJ 3 (2015): e730. doi:10.7717/peerj.730.en
dc.identifier.issn2167-8359en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/8946en
dc.descriptionUSDA Western Regional IPM grant program (2009-34103-20034); MSU Institute on Ecosystems National Science Foundation Final Year Ph.D. Fellowship; DWFP:(W911QY-11-1-0005); Montana Agricultural Experiment Stationen
dc.description.abstractDecision analysis often considers multiple lines of evidence during the decision making process. Researchers and government agencies have advocated for quantitative weight-of-evidence approaches in which multiple lines of evidence can be considered when estimating risk. Therefore, we utilized Bayesian Markov Chain Monte Carlo to integrate several human-health risk assessment, biomonitoring, and epidemiology studies that have been conducted for two common insecticides (malathion and permethrin) used for adult mosquito management to generate an overall estimate of risk quotient (RQ). The utility of the Bayesian inference for risk management is that the estimated risk represents a probability distribution from which the probability of exceeding a threshold can be estimated. The mean RQs after all studies were incorporated were 0.4386, with a variance of 0.0163 for malathion and 0.3281 with a variance of 0.0083 for permethrin. After taking into account all of the evidence available on the risks of ULV insecticides, the probability that malathion or permethrin would exceed a level of concern was less than 0.0001. Bayesian estimates can substantially improve decisions by allowing decision makers to estimate the probability that a risk will exceed a level of concern by considering seemingly disparate lines of evidence.en
dc.subjectEntomologyen
dc.subjectEnvironmental scienceen
dc.subjectToxicologyen
dc.titleA quantitative approach for integrating multiple lines of evidence for the evaluation of environmental health risksen
dc.typeArticleen
mus.citation.extentfirstpagee730en
mus.citation.journaltitlePeerJen
mus.citation.volume3en
mus.identifier.categoryLife Sciences & Earth Sciencesen
mus.identifier.doi10.7717/peerj.730en
mus.relation.collegeCollege of Agricultureen
mus.relation.collegeCollege of Agricultureen
mus.relation.departmentLand Resources & Environmental Sciences.en
mus.relation.universityMontana State University - Bozemanen


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