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AAA: triple adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose finding trials.
The Journal of the Royal Statistical Society: Series C (Applied Statistics) ( IF 1.6 ) Pub Date : 2019-06-14 , DOI: 10.1111/rssc.12291
Jiaying Lyu 1 , Yuan Ji 2 , Naiqing Zhao 1 , Daniel V T Catenacci 3
Affiliation  

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.

中文翻译:

AAA:三重自适应贝叶斯设计,用于在双药剂量寻找试验中确定最佳剂量组合。

我们提出了一种灵活的设计,用于在双药剂量寻找临床试验中确定最佳剂量组合。该设计称为AAA,代表三种适应:自适应模型选择,自适应剂量插入和自适应队列划分。改编突出了双剂剂量寻找创新的需求和机会,并得到了拟议的模拟研究中提供的数值结果的支持。就我们所知,这是第一个同时允许所有三种修改的设计。我们发现AAA增加了找到最佳剂量组合的机会,并缩短了试验时间。正在计划应用AAA设计进行临床试验,并为统计人员和非统计人员开发Web工具。
更新日期:2019-11-01
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