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Model Uncertainty And Bayesian Model Averaged Benchmark Dose Estimation For Continuous Data
Citation:
Shao, K. AND J. S. GIFT. Model Uncertainty And Bayesian Model Averaged Benchmark Dose Estimation For Continuous Data. RISK ANALYSIS. Blackwell Publishing, Malden, MA, (2013).
Impact/Purpose:
A BMD/BMDL estimation method based on Bayesian model averaging (BMA) is proposed to both consider the model uncertainty and reduce the estimation uncertainty for continuous data.
Description:
The benchmark dose (BMD) approach has gained acceptance as a valuable risk assessment tool, but risk assessors still face significant challenges associated with selecting an appropriate BMD/BMDL estimate from the results of a set of acceptable dose-response models. Current approaches might not fully take into account model uncertainty. Hence, an opportunity exists to more fully inform health risk assessors.