Li Huiling, Wang Jianming, Luo Xiaolong, Grechko Janis, Jennison Christopher
Department of Biostatistics, Celgene Corporation, Berkeley Heights, NJ, USA.
Department of Mathematical Sciences, University of Bath, Bath, UK.
Biom J. 2018 Sep;60(5):893-902. doi: 10.1002/bimj.201700231. Epub 2018 Jun 7.
In two-stage group sequential trials with a primary and a secondary endpoint, the overall type I error rate for the primary endpoint is often controlled by an α-level boundary, such as an O'Brien-Fleming or Pocock boundary. Following a hierarchical testing sequence, the secondary endpoint is tested only if the primary endpoint achieves statistical significance either at an interim analysis or at the final analysis. To control the type I error rate for the secondary endpoint, this is tested using a Bonferroni procedure or any α-level group sequential method. In comparison with marginal testing, there is an overall power loss for the test of the secondary endpoint since a claim of a positive result depends on the significance of the primary endpoint in the hierarchical testing sequence. We propose two group sequential testing procedures with improved secondary power: the improved Bonferroni procedure and the improved Pocock procedure. The proposed procedures use the correlation between the interim and final statistics for the secondary endpoint while applying graphical approaches to transfer the significance level from the primary endpoint to the secondary endpoint. The procedures control the familywise error rate (FWER) strongly by construction and this is confirmed via simulation. We also compare the proposed procedures with other commonly used group sequential procedures in terms of control of the FWER and the power of rejecting the secondary hypothesis. An example is provided to illustrate the procedures.
在具有一个主要终点和一个次要终点的两阶段成组序贯试验中,主要终点的总体I型错误率通常由α水平边界控制,例如奥布赖恩 - 弗莱明边界或波科克边界。按照分层检验顺序,仅当主要终点在期中分析或最终分析中达到统计学显著性时,才对次要终点进行检验。为了控制次要终点的I型错误率,使用邦费罗尼方法或任何α水平成组序贯方法对其进行检验。与边际检验相比,次要终点检验的总体检验效能会降低,因为阳性结果的判定取决于分层检验顺序中主要终点的显著性。我们提出了两种具有更高次要检验效能的成组序贯检验程序:改进的邦费罗尼程序和改进的波科克程序。所提出的程序在应用图形方法将显著性水平从主要终点转移到次要终点时,利用了次要终点期中统计量和最终统计量之间的相关性。这些程序通过构建强有力地控制了家族性错误率(FWER),并通过模拟得到了证实。我们还在控制FWER和拒绝次要假设的检验效能方面,将所提出的程序与其他常用的成组序贯程序进行了比较。提供了一个示例来说明这些程序。