Wang Sue-Jane, Bretz Frank, Dmitrienko Alex, Hsu Jason, Hung H M James, Huque Mohammad, Koch Gary
U.S. Food and Drug Administration, HFD-700, WO 21, MailStop Room 3562, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Biom J. 2013 May;55(3):275-93. doi: 10.1002/bimj.201200047. Epub 2013 Apr 3.
Motivated by a complex study design aiming at a definitive evidential setting, a panel forum among academia, industry, and US regulatory statistical scientists was held at the 7th International Conference on Multiple Comparison Procedures (MCP) to comment on the multiplicity problem. It is well accepted that studywise or familywise, type I error rate control is the norm for confirmatory trials. But, it is an uncharted territory regarding the criteria beyond a single confirmatory trial. The case example describes a Phase III program consisting of two placebo-controlled multiregional clinical trials identical in design intended to support registration for treatment of a chronic condition in the lung. The case presents a sophisticated multiplicity problem in several levels: four primary endpoints, two doses, two studies, two regions with different regulatory requirements, one major protocol amendment on the original statistical analysis plan, which the panelists had a chance to study before the forum took place. There were differences in professional perspectives among the panelists laid out by sections. Nonetheless, irrespective of the amendment, it may be arguable whether the two studies are poolable for the analysis of two primary endpoints prespecified. How should the study finding be reported in a scientific journal if one health authority approves while the other does not? It is tempting to address the Phase III program level multiplicity motivated by the increasing complexity of the partial hypotheses framework posed that are across studies. A novel thinking of the MCP procedures beyond individual-study level (studywise or familywise as predefined) and across multiple-study level (experimentwise and sometimes programwise) will become an important research problem expected to face with scientific and regulatory challenges.
出于旨在建立确定性证据环境的复杂研究设计的考虑,在第7届多重比较程序国际会议(MCP)上举办了一场由学术界、行业界和美国监管统计科学家组成的小组论坛,以讨论多重性问题。大家普遍认为,在确证性试验中,控制研究层面或整体层面的I型错误率是规范做法。但是,对于单个确证性试验之外的标准而言,这是一个未知领域。该案例描述了一个III期项目,该项目由两项设计相同的安慰剂对照多区域临床试验组成,旨在支持一种肺部慢性病治疗的注册申请。该案例在几个层面呈现出复杂的多重性问题:四个主要终点、两种剂量、两项研究、两个具有不同监管要求的地区、对原始统计分析计划的一项主要方案修订,小组成员在论坛举行之前有机会研究该修订。按不同部分列出的小组成员之间存在专业观点上的差异。尽管如此,无论修订情况如何,对于预先指定的两个主要终点的分析,这两项研究是否可以合并仍存在争议。如果一个卫生当局批准而另一个不批准,那么研究结果应如何在科学期刊上报告?鉴于跨研究提出的部分假设框架日益复杂,处理III期项目层面的多重性很有吸引力。多重比较程序超越个体研究层面(如预先定义的研究层面或整体层面)并跨越多个研究层面(实验层面,有时是项目层面)的新思维将成为一个重要的研究问题,预计会面临科学和监管方面的挑战。