Detecting qualitative interactions in clinical trials: An extension of range test
Detecting qualitative interactions in clinical trials: An extension of range test
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DOI：
10.1080/10543400600801588
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发表时间：
2006-11-01
影响因子：
1.1
通讯作者：
Chan, Ivan S. F.
中科院分区：
文献类型：
--
作者：
Li, Jianjun;Chan, Ivan S. F.
为了帮助解释临床试验中的治疗效果，研究者通常会检查观察到的治疗效果在不同的患者亚群中是否相同。定性的相互作用是非常重要的，这意味着治疗在一些亚群中是有益的，在另一些亚群中是有害的。在本文中，开发了一种新的统计检验来检测这种相互作用。新的测试是众所周知的极差测试的扩展，但利用所有观察到的处理差异，而不仅仅是最大值和最小值。大量的模拟表明，所提出的扩展范围测试通常优于范围测试，甚至比似然比测试更好，因为当一种处理在大多数子集中优于另一种处理时，扩展范围测试比似然测试更强大，但在其他情况下不会损失太多功率。通过一个实际的临床试验实例说明，扩展极差检验可以检测到定性的相互作用，而极差检验和似然比检验则不能。
To help interpret a treatment effect in clinical trials, investigators usually examine whether the observed treatment effect is the same in various subsets of patients. The qualitative interaction, which means that the treatment is beneficial in some subsets and harmful in others, is of major importance. In this paper, a new statistical test is developed for detecting such interactions. The new test is an extension of the well-known range test, but utilizes all observed treatment differences rather than only the maximum and the minimum values. Extensive simulations indicate that the proposed extended range test generally outperforms the range test and is even better than the likelihood ratio test in the sense that the extended range test is much more powerful than the likelihood test when one treatment is superior to the other in most subsets and yet does not lose much power otherwise. It is also illustrated through a real clinical trial example that the extended range test detects the qualitative interaction while the range test and likelihood ratio test do not.