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Improving risk assessment: research opportunities in dose response modeling to improve risk assessment.
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
Hum Ecol Risk Assess 2002 Oct; 8(6):1421-1444
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.
Risk-analysis; Epidemiology; Mathematical-models; Statistical-analysis; Dose-response; Author Keywords: interindividual variability; injury risk; Bayesian analysis; latent variables; Markov Chain Monte Carlo analysis
Stayner L; Toraason M; Hattis D
Issue of Publication
Research Tools and Approaches: Risk Assessment Methods
Human and Ecological Risk Assessment
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Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division