O'Quigley John
Department of Mathematics, University of California at San Diego, La Jolla CA 92093, USA.
Biostatistics. 2002 Mar;3(1):87-99. doi: 10.1093/biostatistics/3.1.87.
The continual reassessment method (CRM) is an increasingly popular approach for estimating the maximum tolerated dose (MTD) in phase I dose finding studies. In its original formulation, the scheme is based on a fixed sample size. Many experimenters feel that, whenever possible, it may be advantageous to bring these trials to an early halt and thus reduce average sample size required to complete the study. To address this issue a stopping rule has been proposed (O'Quigley and Reiner, 1998) based on the idea that continuing the study would not lead to a change in recommendation with high probability. The rule, based on precise probabilistic calculation, is quite involved and not straightforward to implement. A much simpler rule can be constructed based on the idea of having settled at some level. In this work we investigate more deeply the essential ingredients behind these rules and consider more closely their operating characteristics.
连续重新评估法(CRM)是在I期剂量探索研究中估计最大耐受剂量(MTD)时越来越常用的一种方法。在其最初的形式中,该方案基于固定样本量。许多实验者认为,只要有可能,尽早终止这些试验可能是有利的,从而减少完成研究所需的平均样本量。为了解决这个问题,基于继续研究很可能不会导致推荐改变的想法,已经提出了一种停止规则(奥奎利和赖纳,1998年)。该规则基于精确的概率计算,相当复杂且不易实施。基于在某个水平上稳定下来的想法,可以构建一个简单得多的规则。在这项工作中,我们更深入地研究了这些规则背后的基本要素,并更仔细地考虑了它们的操作特性。