Improving Risk Assessment: Research Opportunities in Dose Response Modeling to Improve Risk Assessment
Public Domain
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2002/10/01
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Details
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Personal Author:Andersen M ; Bailer AJ ; Bayard S ; Chen C ; Clewell H ; Conolly R ; Crump K ; Dunson D ; Finkel A ; Haber L ; Hattis D ; Jarabek AM ; Kodell R ; Krewski D ; Thomas D ; Thorslund T ; Wassell, James T. ; Zeise L
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Description:Substantial improvements in dose response modeling for risk assessment may result from recent and continuing advances in biological research, biochemical techniques, biostatistical/mathematical methods and computational power. This report provides a ranked set of recommendations for proposed research to advance the state of the art in dose response modeling. The report is the result of a meeting of invited workgroup participants charged with identifying five areas of research in dose response modeling that could be incorporated in a national agenda to improve risk assessment methods. Leading topics of emphasis are interindividual variability, injury risk assessment modeling, and procedures to incorporate distributional methods and mechanistic considerations into now-standard methods of deriving a reference dose (RfD), reference concentration (RfC), minimum risk level (MRL) or similar dose-response parameter estimates. [Description provided by NIOSH]
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ISSN:1080-7039
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Volume:8
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Issue:6
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NIOSHTIC Number:nn:20022470
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Citation:Hum Ecol Risk Assess 2002 Oct; 8(6):1421-1444
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Federal Fiscal Year:2003
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Peer Reviewed:True
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Source Full Name:Human and Ecological Risk Assessment
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Main Document Checksum:urn:sha-512:d25e3b5e0e6b5d70bfb58f6118eab18aa7f1d48415ad24504700e548e58659dd72bc0418fbde86b5eefae2ce03420aa73357b23f59a87b034a4325afb5581c23
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