Continual reassessment method for ordered groups
Continual reassessment method for ordered groups
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DOI：
10.1111/1541-0420.00050
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发表时间：
2003-06-01
期刊：
影响因子：
1.9
通讯作者：
Paoletti, X
中科院分区：
文献类型：
--
作者：
O'Quigley, J;Paoletti, X
我们研究了两组连续重新评估的剂量发现研究的方法，其中我们预计组之间的一些排序。在这种情况下，对于任何一组，我们几乎不知道哪些可用剂量水平与最大耐受剂量(MTD)相对应，但我们可能对两组中哪一组的最大耐受剂量(MTD)水平较高有相当强的了解，如果他们确实没有相同的MTD。研究这一问题的动机来自对儿童急性白血病新疗法的调查。对本研究的背景进行了讨论。有两组患者：一组已经接受了较重的先前治疗，第二组接受了相对较轻的先前治疗。因此，预计第二组的MTD将高于或至少与第一组相同。通常，可以使用似然方法或等价地使用非信息性贝叶斯先验来对研究的主要方面进行建模，即其中一个组的MTD，保留更多信息量的贝叶斯建模应用于研究的次要特征。这些次要特征可能仅仅是两组MTD水平之间差异的方向，或者可能是关于两个MTD之间的潜在差距的信息。
We investigate the two-group continual reassessment method for a dose-finding study in which we anticipate some ordering between the groups. This is a situation in which, for either group, we have little or almost no knowledge about which of the available dose levels will correspond to the maximum tolerated dose (MTD), but we may have quite strong knowledge concerning which of the two groups will have the higher level of MTD, if indeed they do not have the same MTD. The motivation for studying this problem came from an investigation into a new therapy for acute leukemia in children. The background to this study is discussed. There were two groups of patients: one group already received heavy prior therapy while the second group had received relatively much lighter prior therapy. It was therefore anticipated that the second group would have an MTD higher or at least as high as the first. Generally, likelihood methods or, equivalently, the use of noninformative Bayes priors, can be used to model the main aspects of the study, i.e., the MTD for one of the groups, reserving more informative Bayes modeling to be applied to the secondary features of the study. These secondary features may simply be the direction of the difference between the MTD levels for the two groups or, possibly, information on the potential gap between the two MTDs.