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Benchmark dose estimation incorporating multiple data sources.

Authors
Wheeler-MW; Bailer-AJ
Source
Risk Anal 2009 Feb; 29(2):249-256
NIOSHTIC No.
20035018
Abstract
With the increased availability of toxicological hazard information arising from multiple experimental sources, risk assessors are often confronted with the challenge of synthesizing all available scientific information into an analysis. This analysis is further complicated because significant between-source heterogeneity/lab-to-lab variability is often evident. We estimate benchmark doses using hierarchical models to account for the observed heterogeneity. These models are used to construct source-specific and population-average estimates of the benchmark dose (BMD). This is illustrated with an analysis of the U.S. EPA Region IX's reference toxicity database on the effects of sodium chloride on reproduction in Ceriodaphnia dubia. Results show that such models may effectively account for the lab-source heterogeneity while producing BMD estimates that more truly reflect the variability of the system under study. Failing to account for such heterogeneity may result in estimates having confidence intervals that are overly narrow.
Keywords
Risk-analysis; Statistical-analysis; Mathematical-models; Toxic-effects; Toxicology; Genetic-factors; Genotoxic-effects; Laboratories; Laboratory-testing; Dose-response; Exposure-assessment; Exposure-methods; Reproductive-effects; Author Keywords: Aquatic toxicology; Bayesian methods; Generalized linear mixed models; Hierarchical models; Lab-to-lab variability; Poisson responses
Contact
A. John Bailer, Department of Mathematics & Statistics, Miami University, Oxford, OH 45056
CODEN
RIANDF
CAS No.
764-71-4
Publication Date
20090201
Document Type
Journal Article
Email Address
baileraj@muohio.edu
Fiscal Year
2009
NTIS Accession No.
NTIS Price
Issue of Publication
3
ISSN
0272-4332
NIOSH Division
EID
Source Name
Risk Analysis
State
OH
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