Improving risk Assessment: Research opportunities in dose response modeling to improve risk assessment

Journal Article

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. © 2002 by ASP.

Full Text

Duke Authors

Cited 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

Published Date

  • October 1, 2002

Published In

Volume / Issue

  • 8 / 6

Start / End Page

  • 1421 - 1444

International Standard Serial Number (ISSN)

  • 1080-7039

Digital Object Identifier (DOI)

  • 10.1080/20028091057448

Citation Source

  • Scopus