Bayesian benchmark dose analysis

A benchmark dose analysis of prenatal exposure to polychlorinated biphenyls.

Benchmark dose (BMD) analysis is used to determine levels of exposure to environmental contaminants associated with increased public health risk. In this study we used a benchmark approach to evaluate the risks associated with prenatal exposure to polychlorinated biphenyls (PCBs). We evaluated for intellectual impairment a cohort of children whose prenatal PCB exposure had been assessed from bi...

Benchmark Dose Estimation Using SAS®

Toxicologically-based quantitative risk assessment is concerned with estimating human risks based upon experimental data linking an environmental agent to a known outcome (tumor incidence, acute toxicity, etc.). For dichotomous outcomes dose-response curves are modeled as complex functions of dose which often require specialized software to estimate. The SAS procedure NLMIXED readily allows for...

Benchmark Priors for Bayesian Model Averaging

In contrast to a posterior analysis given a particular sampling model, posterior model probabilities in the context of model uncertainty are typically rather sensitive to the specification of the prior. In particular, “diffuse” priors on model-specific parameters can lead to quite unexpected consequences. Here we focus on the practically relevant situation where we need to entertain a (large) n...

Universitet Benchmark dose calculation from epidemiological data

Improving Benchmark Dose Estimation for Sodium Reduction

A recent series of experiments aimed to determine the amount salt can be reduced in food products without losing too much of their original taste; this is called the benchmark dose. In this study, a logistic model was used, however, it did not to include some features of the experiment and also used the data in an inefficient way. To improve the model, we borrowed the idea of risk assessment fr...