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Updated: Jul 1, 2025

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采用现实世界的数据进行加速的临时徒劳性分析的最佳时机

Lillian M F Haine1, Thomas A Murray1, Joseph S Koopmeiners1

  • 1Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, United States.

Contemporary clinical trials
|March 10, 2024
PubMed
概括

临床试验徒劳性监测的新贝叶斯方法可以通过利用外部现实世界的数据来减少样本大小. 这提高了试验效率,而不会增加I型错误率,有助于资源分配.

关键词:
贝叶斯适应式设计是贝叶斯的适应式设计.暂时的徒劳性监测监测随机对照试验是随机对照试验.现实世界的数据数据.

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