Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Application of Benchmark Dose Methodology to a Variety of Endpoints and Exposures.
Author Haber, L. ; Allen, B. ; Seed, J. ; Gan, K. ;
CORP Author ICF Kaiser International, Inc., Fairfax, VA.;Environmental Protection Agency, Washington, DC. National Center for Environmental Assessment.
Publisher Dec 97
Year Published 1997
Report Number EOA-68-D2-0129; NCEA-W-0358 ; EPA/600/R-97/138
Stock Number PB98-124001
Additional Subjects Environmental exposure pathway ; Toxicity ; Risk assessment ; Health hazards ; Health effects ; Dose-response relationships ; Dosage ; Environmental pollution ; Superfund ; Probability ; Mathematical models ; Statistical data ; Benchmark dose ; Endpoints
Library Call Number Additional Info Location Last
NTIS  PB98-124001 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 07/03/1998
Collation 708p
The series of reports included in this volume is the result of an effort to gain wider experience with the use of the benchmark dose (BMD) approach for a variety of endpoints of toxicity for several environmental agents. The reports on each chemical were developed individually, but have been collected in this document to make the series of reports more easily available as a group of separate but related efforts. One of the novel BMD approaches explored in detail for the first time in these reports was the modeling and calculation of BMDs for continuous data. In particular, the use of the hybrid model developed by Gaylor and Slikker and elaborated by Crump was explored in detail here using the BENCH-C software developed by ICF Kaiser. Characteristics of the model are dependent on the background rate of effects, variability in the data, and determination of a cut-point for what is considered an adverse degree of change in a response. These reports explore several approaches by varying the parameters of background rate and cut-point, and choosing different levels of the probability of abnormal response.