Shun Zhenming
Aventis Pharmaceuticals Inc., BX2-400C, 200 Crossing Blvd., Bridgewater, NJ 08807, USA.
J Biopharm Stat. 2002 Nov;12(4):485-502. doi: 10.1081/BIP-120016232.
We propose an approach to specify group sequential stopping boundaries adjusted for sample size reestimation and negative stop in interim analyses of a clinical trial. Sample size can be adjusted based on the observed delta at each interim to maintain the targeted power. The calculation of stopping boundaries incorporates possible changes in the type-I error due to sample size reestimation and/or negative stops; hence the overall type-I error is well controlled. This approach combines the advantages of the group sequential and sample size reestimation methods and is more efficient than either one alone. It provides flexibility in clinical trials and still maintains the integrity of these trials. When no early stop is planned, the stopping boundaries will be adjusted only for sample size reestimation. All calculations are given in closed mathematical forms and adjustments in stopping boundaries are based on the exact type-I error change. Therefore, the penalty for the type-I error inflation due to such interim conductions is kept to a minimum.
我们提出了一种方法,用于在临床试验的期中分析中指定针对样本量重新估计和阴性停止进行调整的成组序贯停止边界。可以根据每个期中观察到的效应量差值来调整样本量,以维持目标检验效能。停止边界的计算纳入了由于样本量重新估计和/或阴性停止导致的I型错误可能发生的变化;因此,整体I型错误得到了很好的控制。该方法结合了成组序贯法和样本量重新估计法的优点,比单独使用任何一种方法都更有效。它为临床试验提供了灵活性,同时仍保持了这些试验的完整性。当未计划提前停止时,停止边界仅针对样本量重新估计进行调整。所有计算均以封闭的数学形式给出,停止边界的调整基于精确的I型错误变化。因此,由于此类期中操作导致的I型错误膨胀的惩罚被保持在最低限度。