Model Uncertainty And Bayesian Model Averaged Benchmark Dose Estimation For Continuous Data
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.
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.
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).