A Bayesian Nonparametric Modeling Framework for Developmental Toxicity Studies
发育毒性研究的贝叶斯非参数混合建模框架
We develop a Bayesian nonparametric mixture modeling framework for replicated count responses in dose-response settings. We explore this methodology for modeling and risk assessment in developmental toxicity studies, where the primary objective is to determine the relationship between the level of exposure to a toxic chemical and the probability of a physiological or biochemical response, or death. Data from these experiments typically involve features that cannot be…