Two-dimensional dose finding in discrete dose space
Two-dimensional dose finding in discrete dose space
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DOI：
10.1111/j.0006-341x.2005.030540.x
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发表时间：
2005-03-01
期刊：
影响因子：
1.9
通讯作者：
Ivanova, A
中科院分区：
文献类型：
--
作者：
Wang, K;Ivanova, A
两种药物的I期试验的目的是找到一组产生预定毒性率的最大耐受剂量组合。在这篇文章中，我们考虑的情况下，一种药剂的几个剂量是固定的，目标是找到其他药剂的最大耐受剂量与每个剂量的药剂1组合使用。我们提出了一个贝叶斯设计，使用一个简约的工作模型的剂量-毒性关系。我们表明，新的设计是更有效地确定最大耐受的组合比一维设计应用于每个剂量水平的代理之一。
The objective of a Phase I trial with two agents is to find a set of maximum-tolerated dose combinations that yield a prespecified toxicity rate. In this article, we consider the case where several doses of one agent are fixed and the goal is to find the maximum-tolerated dose of the other agent to be used in combination with each of the doses of agent one. We propose a Bayesian design that uses a parsimonious working model for the dose-toxicity relationship. We show that the new design is more effective in identifying the maximum-tolerated combinations than one-dimensional designs applied at each dose level of one of the agents.