文章摘要
高源,仲子航,陆梦依,陈峰.罕见病小样本临床试验的统计设计及其应用[J].中华流行病学杂志,2024,45(12):1700-1704
罕见病小样本临床试验的统计设计及其应用
Statistical design and application of clinical trials with small sample sizes for rare diseases
收稿日期:2024-07-05  出版日期:2024-12-16
DOI:10.3760/cma.j.cn112338-20240705-00401
中文关键词: 罕见病  小样本  统计设计  临床试验
英文关键词: Rare diseases  Small sample  Statistical design  Clinical trial
基金项目:
作者单位E-mail
高源 南京医科大学公共卫生学院生物统计学系, 南京 211166  
仲子航 南京医科大学公共卫生学院生物统计学系, 南京 211166  
陆梦依 南京医科大学公共卫生学院生物统计学系, 南京 211166  
陈峰 南京医科大学公共卫生学院生物统计学系, 南京 211166 fengchen@njmu.edu.cn 
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中文摘要:
      罕见病由于病例少,难以开展大规模临床试验。本文介绍了几种潜在的可用于罕见病的小样本统计设计,包括交叉设计、自身多阶段交叉设计、随机安慰剂阶段设计、随机撤药设计、成组序贯设计、适应性设计等,讨论这些设计的优缺点及应用场景,进一步讨论了Bayes决策在罕见病临床试验中的优势。旨在为罕见病小样本临床试验的设计和实施提供参考。
英文摘要:
      Due to the limited number of cases, conducting large-scale clinical trials for rare diseases is challenging. This review introduces several small sample statistical designs tailored for rare diseases, including crossover design, n-of-1 design, randomized placebo-phase design, randomized withdrawal design, group sequential design, and adaptive design. It discusses the advantages, disadvantages, and application scenarios of these designs. Additionally, it explores the benefits of Bayes decision-making in clinical trials for rare diseases. The aim is to provide a reference for designing and implementing small sample clinical trials for rare diseases.
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