在干细胞临床试验中对响应者分析的统计评估
Jiajun Liu1, Emily Poehlein2,3, Shein-Chung Chow2,3
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA. jiajun.liu@duke.edu.
Therapeutic innovation & regulatory science
|August 9, 2023
概括
这项研究比较了治疗疗效的绝对变化 (AC) 和相对变化 (RC) 终点. 结合AC和RC的新型响应端点提供了更好的功率和精度,减少了临床试验中的样本大小需求.
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
- 药物经济学 药物经济学
背景情况:
- 治疗疗效评估涉及对最佳终点进行辩论:绝对变化 (AC) 与相对变化 (RC).
- 像FDA这样的监管机构通常倾向于AC,而研究人员可能更喜欢RC,因此需要终点调和.
- 了解AC和RC之间的相互作用对于设计有效的临床试验至关重要.
研究的目的:
- 研究绝对变化 (AC) 和相对变化 (RC) 终点的转换和组合.
- 提出和评估一个新的响应端点,集成AC和RC概念.
- 在样本大小,功率和精度方面,将新终点的性能与传统的AC和RC测量进行比较.
主要方法:
- 介绍了一个激励的例子,说明了依赖于终点的结论.
- 分析了AC和RC之间的关系,涉及样本大小,功率和精度要求.
- 开发了一种结合AC和RC的新响应者终点,并对其比较性能进行了评估.
主要成果:
- 交流和回流的性能高度依赖于值,这使得直接翻译变得困难.
- 提出了三种类型的响应者终点,第三种类型显示出优异的性能.
- 与AC和RC相比,建议的响应端点提供了更高的功率,精度和更小的样本大小,特别是与更高的值相比.
结论:
- 建议的响应者终点有效地整合了来自AC和RC的信息.
- 这种新的终点为临床试验设计提供了有价值的替代方案,特别是当AC和RC之间没有明确的偏好时.
- 这些发现支持使用联合终点来提高临床试验评估的效率和信息性.
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