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Sample size re-estimation designs in confirmatory clinical trials: Current state, statistical considerations and practical guidance

机译:确认临床试验中的样本大小重新估算设计:当前国家,统计考虑和实际指导

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摘要

Confirmatory clinical trials that are a critical milestone in a drug development program. In these trials, sample size determination is observed as an important activity for the choice of subjects for tests. While any trial is in progress, there are occasions where a re-sample is required. In this article, it is proposed to discuss various sample size re-estimation designs (SSRs) for confirmatory clinical trials taking into account the current state, statistical considerations, and practical guidance. It is pointed out that SSR design is a flexible, adaptive design with the primary purpose of allowing sample size of a study to be reassessed in the mid-course of the study to ensure adequate power. In this regard, an overview of statistical methods related to the designs of unblinded SSR or blinded SSR clinical trials are provided. Methods for handling multiplicity encountered in studies using SSR are then identified. Group sequential design methods are discussed in brief followed by which the points to be considered when selecting one of these design options for a confirmatory study are elaborated. Real world examples and simulations are considered to provide practical guidance for the implementation of SSR designs. The paper concludes with a detailed discussion on the findings. (44 refs.)
机译:确认临床试验,是药物开发计划中的关键里程碑。在这些试验中,观察样本尺寸测定作为用于测试的受试者的重要活动。虽然任何试验正在进行中,但有时需要重新样本。在本文中,提出讨论各种样本大小重新估计设计(SSRS),以考虑到当前国家,统计考虑和实际指导。有人指出,SSR设计是一种灵活的自适应设计,主要目的是允许在研究中期进行重新评估研究的样本大小,以确保足够的功率。在这方面,提供了与未结合的SSR或盲盲SSR临床试验的设计有关的统计方法的概述。然后识别使用SSR在研究中遇到的多重性的方法。简要讨论了组顺序设计方法,然后阐述了选择用于确认研究的这些设计选项之一时要考虑的点。现实世界的例子和模拟被认为为实施SSR设计提供了实际指导。本文在调查结果详细讨论了。 (44参考文献)

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