AAA:双药剂量探索试验中识别最优剂量组合的三重自适应贝叶斯设计

AAA: Triple Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose Finding Trials

Journal of the Royal Statistical Society. Series C: Applied Statistics · 2018
被引 9
ABS 3

中文导读

提出一种名为AAA的三重自适应贝叶斯设计,用于双药剂量探索临床试验,通过自适应模型选择、剂量插入和队列划分,提高找到最优剂量组合的概率并缩短试验时长,已计划应用于实际试验并开发网络工具。

Abstract

We propose a flexible design for the identification of optimal dose combinations in dual-agent dose finding clinical trials. The design is called AAA, standing for three adaptations: adaptive model selection, adaptive dose insertion and adaptive cohort division. The adaptations highlight the need and opportunity for innovation for dual-agent dose finding and are supported by the numerical results presented in the proposed simulation studies. To our knowledge, this is the first design that allows for all three adaptations at the same time. We find that AAA enhances the chance of finding the optimal dose combinations and shortens the trial duration. A clinical trial is being planned to apply the AAA design and a Web tool is being developed for both statisticians and non-statisticians.

临床试验设计贝叶斯方法剂量探索自适应设计