NIOSHTIC-2 Publications Search

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; Author Keywords: interindividual variability; injury risk; Bayesian analysis; latent variables; Markov Chain Monte Carlo analysis
CODEN
HERAFR
Publication Date
20021001
Document Type
Journal Article
Editors
Stayner L; Toraason M; Hattis D
Fiscal Year
2003
Issue of Publication
6
ISSN
1080-7039
NIOSH Division
DSR; EID
Priority Area
Research Tools and Approaches: Risk Assessment Methods
Source Name
Human and Ecological Risk Assessment
State
WV; OH; CO; CA; MA; DC; LA; NC
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division