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Improving risk assessment: research opportunities in dose response modeling to improve risk assessment.

Authors
Zeise-L; Hattis-D; Andersen-M; Bailer-AJ; Bayard-S; Chen-C; Clewell-H; Conolly-R; Crump-K; Dunson-D; Finkel-A; Haber-L; Jarabek-AM; Kodell-R; Krewski-D; Thomas-D; Thorslund-T; Wassell-JT
Source
Hum Ecol Risk Assess 2002 Oct; 8(6):1421-1444
NIOSHTIC No.
20022470
Abstract
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.
Keywords
Risk-analysis; Epidemiology; Mathematical-models; Statistical-analysis; Dose-response
CODEN
HERAFR
Publication Date
20021001
Document Type
Journal Article
Editors
Stayner-L; Toraason-M; Hattis-D
Fiscal Year
2003
NTIS Accession No.
NTIS Price
Issue of Publication
6
ISSN
1080-7039
NIOSH Division
EID
Priority Area
Research Tools and Approaches: Risk Assessment Methods
Source Name
Human and Ecological Risk Assessment
State
OH
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