Department of Biostatistics, Columbia University, New York, NY 10032, USA.
Biostatistics. 2011 Apr;12(2):386-98. doi: 10.1093/biostatistics/kxq062. Epub 2010 Sep 28.
This paper addresses the dose-finding problem in cancer trials in which we are concerned with the gradation of severe toxicities that are considered dose limiting. In order to differentiate the tolerance for different toxicity types and grades, we propose a novel extension of the continual reassessment method that explicitly accounts for multiple toxicity constraints. We apply the proposed methods to redesign a bortezomib trial in lymphoma patients and compare their performance with that of the existing methods. Based on simulations, our proposed methods achieve comparable accuracy in identifying the maximum tolerated dose but have better control of the erroneous allocation and recommendation of an overdose.
本文探讨了癌症试验中的剂量探索问题,我们关注的是被认为是剂量限制的严重毒性的分级。为了区分不同毒性类型和等级的耐受能力,我们提出了一种新的连续再评估方法的扩展,该方法明确考虑了多个毒性约束。我们将提出的方法应用于淋巴瘤患者硼替佐米试验的重新设计,并将其性能与现有方法进行比较。基于模拟,我们提出的方法在确定最大耐受剂量方面具有相当的准确性,但在错误分配和推荐超量方面具有更好的控制。