Bayesian Model Averaging With Applications to Benchmark Dose Estimation for Arsenic in Drinking Water
贝叶斯模型平均及其在饮用水砷暴露基准剂量估计中的应用
An important component of quantitative risk assessment involves characterizing the dose-response relationship between an environmental exposure and adverse health outcome and then computing a benchmark dose, or the exposure level that yields a suitably low risk. This task is often complicated by model choice considerations, because risk estimates depend on the model parameters. We propose using Bayesian methods to address the problem of model selection and derive a…