I期剂量测定的靶毒性设计

IF 0.7 Q3 STATISTICS & PROBABILITY
Wenchuan Guo, B. Zhong
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引用次数: 0

摘要

我们提出了一种新的两阶段/三阶段剂量发现设计,称为目标毒性(TT),用于I期临床试验,其中我们将剂量发现过程中的决策规则与假设检验的结论联系起来。并给出了检测过度毒性的能力。这就解决了为什么在选定的剂量水平下需要最少数量的病人的问题。我们的方法利用频率论框架对传统的“3+3”设计进行了统计解释。该方法非常灵活,并通过不同的参数设置融合了其他基于区间的决策规则。我们提供决策表来指导研究者何时减少、增加或重复下一组受试者的剂量。模拟实验比较了该方法与其他剂量检测设计的性能。CRAN上有一个免费的开源R包tsdf。它致力于推导两阶段/三阶段设计决策表并执行剂量查找模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Target toxicity design for phase I dose-finding
We propose a new two-/three-stage dose-finding design called Target Toxicity (TT) for phase I clinical trials, where we link the decision rules in the dose-finding process with the conclusions from a hypothesis test. The power to detect excessive toxicity is also given. This solves the problem of why the minimal number of patients is needed for the selected dose level. Our method provides a statistical explanation of traditional ‘3+3’ design using frequentist framework. The proposed method is very flexible and it incorporates other interval-based decision rules through different parameter settings. We provide the decision tables to guide investigators when to decrease, increase or repeat a dose for next cohort of subjects. Simulation experiments were conducted to compare the performance of the proposed method with other dose-finding designs. A free open source R package tsdf is available on CRAN. It is dedicated to deriving two-/three-stage design decision tables and perform dose-finding simulations.
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来源期刊
CiteScore
0.90
自引率
20.00%
发文量
21
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