Benchmark dose estimation incorporating multiple data sources.
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.
Wheeler
Matthew W
MW
National Institute for Occupational Safety and Health, Risk Evaluation Branch, Cincinnati, OH, USA.
Bailer
A John
AJ
D000465:Algorithms; D000818:Animals; D019985:Benchmarking; D003621:Daphnia; D003625:Data Collection; D004781:Environmental Exposure; D015233:Models, Statistical; D015999:Multivariate Analysis; D016012:Poisson Distribution; D012044:Regression Analysis; D012306:Risk; D018570:Risk Assessment; D012965:Sodium Chloride / Q000633:toxicity; D012984:Software; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000633:toxicity
D014874:Water Pollutants, Chemical; D012965:Sodium Chloride