Kang Seung-Ho, Ryu Yuman
Department of Applied Statistics, Yonsei University, Seoul, Korea.
J Biopharm Stat. 2011 May;21(3):498-510. doi: 10.1080/10543406.2010.482683.
A regulatory agency usually requires two independent positive trials of the same new drug for approval. If two different new drugs are approved with the λ-margin approach by using the same active control, it implies that four noninferiority trials share the same active control. Sharing the same active control generates dependencies among trials. In this paper we investigate how much such dependencies inflate the unconditional and conditional across-trial type I error rates, and we propose a new procedure to adjust the inflated unconditional across-trial type I error rates.
监管机构通常要求对同一新药进行两项独立的阳性试验才能批准。如果使用相同的活性对照通过λ界值法批准了两种不同的新药,这意味着四项非劣效性试验共享相同的活性对照。共享相同的活性对照会在试验之间产生相关性。在本文中,我们研究了这种相关性会使无条件和有条件的跨试验I型错误率膨胀多少,并提出了一种新的程序来调整膨胀的无条件跨试验I型错误率。