持续再评估法与d -优化设计在I期临床试验中剂量选择的比较

M. Alam
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引用次数: 2

摘要

持续再评估方法是一种基于模型的程序,在文献中有描述,用于确定I期临床试验中的最大耐受剂量。在d -最优设计框架下也可以找到最大耐受剂量,其中以这样一种方式收集信息,使参数估计的渐近变异性最小化。本文在一些现实背景下对这两种方法进行了研究,以探讨它们之间的潜在差异。对6种可能的剂量-响应情景进行了仿真研究,结果表明,在许多情况下,与连续重评估方法相比,d -最优设计可以很好地工作。d -最优设计也被发现在试验中从设计区域的极端分配剂量给患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparison between the continual reassessment method and D-optimum design for dose finding in phase I clinical trials
Abstract The continual reassessment method is a model-based procedure, described in the literature, used to determine the maximum tolerated dose in phase I clinical trials. The maximum tolerated dose can also be found under the framework of D-optimum design, where information is gathered in such a way so that asymptotic variability in the parameter estimates in minimised. This paper investigates the two methods under some realistic settings to explore any potential differences between them. Simulation studies for six plausible dose-response scenarios show that D-optimum design can work well in comparison with the continual reassessment method in many cases. The D-optimum design is also found to allocate doses from the extremes of the design region to the patients in a trial.
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