Bayesian Model Averaging and Compromising in Dose-Response Studies
Bayesian Model Averaging and Compromising in Dose-Response Studies
Dose-response models are applied to animal-based cancer risk assessments and human-based clinical trials usually with small samples. For sparse data, we rely on a parametric model for efficiency, but posterior inference can be sensitive to an assumed model. In addition, when we utilize prior information, multiple experts may have different …