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Multiplicity: Discussion points from the Statisticians in the Pharmaceutical Industry multiplicity expert group

机译:多重性:制药业多重性专家组中统计学家的讨论要点

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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.
机译:2012年5月,卫生与医药产品委员会发布了一份概念文件,内容涉及有必要审查临床试验中有关多重性问题文件的要点。为准备发布更新的指导文件,制药行业的统计学家在2013年1月举行了为期一天的专家组会议。辩论的话题包括多样性和药物开发过程,新近开发的应对多样性策略的有用性和局限性,由临时决策和多地区发展引起的多重性问题,以及需要对应于多个测试程序的同时置信区间(CI)。会议的一个明确信息是,当要基于假设检验对功效或安全性进行正式声明时,需要考虑多重调整。统计人员在设计研究以评估进行的研究中调整的真正意义时起着关键作用。考虑到次级端点的多重性调整在区分市场产品中的重要性日益增加,在规划阶段需要更多地考虑二级调整。在优越性试验的背景下,关于同时使用CI的作用尚未达成共识。有人认为,应将未调整的区间作为区间的主要目的是估计,而假设检验的目的是正式建立一种效果。相反的看法是,配置项应尽可能与测试决定相对应。

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