样本大小计算多臂平行设计的样本大小计算,限制了平均存活时间.
Yaxian Chen1, Kwok Fai Lam1,2, Jiajun Xu3
1Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong.
Statistical methods in medical research
|December 14, 2023
概括
这项研究引入了一种新的方法,用于设计使用受限平均存活时间 (RMST) 的多臂临床试验. 该方法简化了用于比较多种癌症治疗方法的样本大小计算,提高了试验效率.
科学领域:
- 生物统计学 生物统计学
- 临床试验设计 临床试验设计
- 瘤学研究研究
背景情况:
- 在瘤学临床试验中,受限平均生存时间 (RMST) 越来越突出,而不是在瘤学临床试验中对时间到事件结果的危险比率.
- 目前用于RMST比较的方法在多臂试验 (三组或更多组) 中面临挑战,特别是关于同时干预比较,多重测试和样本大小的确定.
研究的目的:
- 提出一种新的方法来设计基于RMST的多臂临床试验,具有基于RMST的正确审查的生存终点.
- 为II/III阶段设置提供一个框架,包括一个全局测试和一个基于建模的多重比较程序.
- 为了解决在多臂RMST比较中确定样本大小的障碍.
主要方法:
- 开发了一种使用RMST的多臂临床试验设计的新框架.
- 引入了基于多臂全球测试的封闭形式样本大小公式.
- 纳入了用于在二期剂量确定研究中的多重比较的样本大小确定程序.
- 在样本大小评估中考虑了不成比例的危险和分阶段的患者进入.
主要成果:
- 拟议的方法为多臂试验设计提供了强大而灵活的方法.
- 与传统方法相比,在保持目标功率的同时,实现了更小的样本大小.
- 通过模拟研究和真实临床试验示例证明了有效性和准确性.
结论:
- 基于RMST的新型框架有助于在瘤学中高效准确地设计多臂临床试验.
- 该方法解决了复杂试验设计的样本大小确定和多重测试的关键挑战.
- 这种方法增强了RMST在推进癌症治疗研究中的实际应用.
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