Fan Shenghua K, Wang You-Gan
Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore.
Biometrics. 2007 Sep;63(3):856-64. doi: 10.1111/j.1541-0420.2007.00772.x. Epub 2007 Apr 2.
The goal of this article is to provide a new design framework and its corresponding estimation for phase I trials. Existing phase I designs assign each subject to one dose level based on responses from previous subjects. Yet it is possible that subjects with neither toxicity nor efficacy responses can be treated at higher dose levels, and their subsequent responses to higher doses will provide more information. In addition, for some trials, it might be possible to obtain multiple responses (repeated measures) from a subject at different dose levels. In this article, a nonparametric estimation method is developed for such studies. We also explore how the designs of multiple doses per subject can be implemented to improve design efficiency. The gain of efficiency from "single dose per subject" to "multiple doses per subject" is evaluated for several scenarios. Our numerical study shows that using "multiple doses per subject" and the proposed estimation method together increases the efficiency substantially.
本文的目标是为I期试验提供一个新的设计框架及其相应的估计方法。现有的I期设计根据先前受试者的反应将每个受试者分配到一个剂量水平。然而,有可能既没有毒性反应也没有疗效反应的受试者接受更高剂量水平的治疗,并且他们随后对更高剂量的反应将提供更多信息。此外,对于一些试验,有可能在不同剂量水平下从一个受试者获得多个反应(重复测量)。在本文中,针对此类研究开发了一种非参数估计方法。我们还探讨了如何实施每个受试者多剂量的设计以提高设计效率。针对几种情况评估了从“每个受试者单剂量”到“每个受试者多剂量”的效率增益。我们的数值研究表明,将“每个受试者多剂量”与所提出的估计方法一起使用可大幅提高效率。