BOP2-DC: Bayesian optimal phase II designs with dual-criterion decision making
BOP2-DC:采用双标准决策的贝叶斯最优二期试验设计
The conventional phase II trial design paradigm is to make the go/no-go decision based on the hypothesis testing framework. Statistical significance itself alone, however, may not be sufficient to establish that the drug is clinically effective enough to warrant confirmatory phase III trials. We propose the Bayesian optimal phase II trial design with dual-criterion decision making (BOP2-DC), which incorporates both statistical significance and clinical relevance into…