Phillips Alan, Fletcher Chrissie, Atkinson Gary, Channon Eddie, Douiri Abdel, Jaki Thomas, Maca Jeff, Morgan David, Roger James Henry, Terrill Paul
ICON Clinical Research, Marlow, Buckinghamshire, UK.
Pharm Stat. 2013 Sep-Oct;12(5):255-9. doi: 10.1002/pst.1584. Epub 2013 Jul 26.
In May 2012, the Committee of Health and Medicinal Products issued a concept paper on the need to review the points to consider document on multiplicity issues in clinical trials. In preparation for the release of the updated guidance document, Statisticians in the Pharmaceutical Industry held a one-day expert group meeting in January 2013. Topics debated included multiplicity and the drug development process, the usefulness and limitations of newly developed strategies to deal with multiplicity, multiplicity issues arising from interim decisions and multiregional development, and the need for simultaneous confidence intervals (CIs) corresponding to multiple test procedures. A clear message from the meeting was that multiplicity adjustments need to be considered when the intention is to make a formal statement about efficacy or safety based on hypothesis tests. Statisticians have a key role when designing studies to assess what adjustment really means in the context of the research being conducted. More thought during the planning phase needs to be given to multiplicity adjustments for secondary endpoints given these are increasing in importance in differentiating products in the market place. No consensus was reached on the role of simultaneous CIs in the context of superiority trials. It was argued that unadjusted intervals should be employed as the primary purpose of the intervals is estimation, while the purpose of hypothesis testing is to formally establish an effect. The opposing view was that CIs should correspond to the test decision whenever possible.
2012年5月,卫生与药品委员会发布了一份概念文件,内容是关于有必要对临床试验中多重性问题的要点考虑文件进行审查。为准备发布更新后的指导文件,制药行业的统计学家于2013年1月召开了一次为期一天的专家组会议。讨论的主题包括多重性与药物研发过程、新开发的处理多重性策略的有用性和局限性、中期决策和多区域开发中出现的多重性问题,以及与多种测试程序相对应的同时置信区间(CI)的必要性。会议传递的一个明确信息是,当意图基于假设检验就疗效或安全性做出正式声明时,需要考虑多重性调整。在设计研究以评估在正在进行的研究背景下调整真正意味着什么时,统计学家起着关键作用。鉴于次要终点在区分市场上的产品方面的重要性日益增加,在规划阶段需要更多地考虑对次要终点的多重性调整。对于同时置信区间在优效性试验中的作用未达成共识。有人认为应采用未调整的区间,因为区间的主要目的是估计,而假设检验的目的是正式确定效应。相反的观点是,置信区间应尽可能与测试决策相对应。