样本大小和功率计算与基于层次终点的Win测量
Huiman Barnhart1,2, Yuliya Lokhnygina1,2, Roland Matsouaka1,2
1Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA.
Statistics in medicine
|May 19, 2025
概括
新公式简化了临床试验的样本大小和功率计算,使用win措施分析等级终点. 这种方法减少了对复杂的模拟和难以获得的数据的依赖,以便准确的研究规划.
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
- 统计方法 统计方法
背景情况:
- 胜利指标 (胜利比率,胜利几率,净效益,DOOR) 越来越多地用于临床研究中的等级终点.
- 当前的样本大小和功率计算通常依赖于繁的模拟或难以引起的参数.
- 从现有文献或初步数据来确定研究人员指定的临床意义上的胜利指标和平局概率是具有挑战性的.
研究的目的:
- 为四个共同的win措施开发新的样本大小和功率计算公式.
- 提供从易于获得的边际规范中计算整体胜利指标和平局概率的方法.
- 为了使对等级终点的样本大小和功率估计更容易获得和合理.
主要方法:
- 对四个胜率测量的样本大小和功率计算公式的推导.
- 开发公式来将边际胜利措施和绑定概率转化为整体措施.
- 进行广泛的模拟研究以验证衍生式的准确性.
主要成果:
- 拟议的公式为各种相关的等级终点提供了与模拟结果可比的准确功率估计.
- 该方法允许基于端点的数量,排序和类型来评估功率.
- 公式在不同类型的等级终点上是有效的,在非常高的相关性场景中存在轻微的差异.
结论:
- 开发的公式提供了一个实用和强大的替代方案,以模拟为基础的计算在等级终点分析中赢得措施.
- 这些公式有助于有意义和合理的规范赢得措施和平局概率.
- 该方法提高了临床试验设计中的样本大小和功率计算的效率和准确性.
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