在单臂研究或由单臂研究组成的平台试验的最终和中间分析中使用信心分布
Günter Heimann1, Peter Jacko2,3, Tom Parke2
1Advanced Quantitative Sciences/Pharmacometrics, Novartis Pharma AG, Basel, Switzerland.
Statistics in medicine
|September 10, 2025
概括
信任分布为临床试验提供了贝叶斯分析的简单频率主义替代方案. 本研究详细介绍了它们在单臂和平台试验中的应用,允许在没有模拟的情况下准确地导出操作特征.
科学领域:
- 统计 统计 统计 统计
- 临床试验设计 临床试验设计
- 药物指标 (Pharmacometrics) 是一个指标.
背景情况:
- 信任分布正在作为贝叶斯后面分布的频率主义替代品获得吸引力,因为它们的简单性.
- 单臂和平台试验在罕见疾病,瘤学和儿科药物开发中越来越多地用于概念验证和关键证据.
- 这些试验通常采用两阶段设计,有序或连续监测,通过频率主义或贝叶斯方法进行分析.
研究的目的:
- 描述使用单臂和平台试验的信心分布的分析策略.
- 专注于二进制终点,并为最终和中间分析定义决策规则.
- 为了准确地推导出这些试验设计的操作特征,没有模拟.
主要方法:
- 基于单臂和平台试验的信心分布的分析策略的开发.
- 对二进制终点的应用,定义中间和最终分析的决策规则.
- 预测概率用于临时决策规则的利用,与随机缩减的条件概率形成对比.
主要成果:
- 对于基于信任分布的分析来说,可证明运行特征的准确导出,从而消除了对模拟的需求.
- 介绍了一种使用预测概率作为临床试验中临时决策规则的新方法.
- 该方法被证明适用于各种复杂的试验设计,包括平台,篮子和雨试验.
结论:
- 信任分布为分析单臂和平台试验提供了一种可行且准确的频率主义方法.
- 拟议的方法使用预测概率,简化了临时决策规则的定义和分析.
- 这一框架提高了药物开发研究的统计学严谨性和效率,特别是在专门的治疗领域.
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