单独,一起:关于贝叶斯借贷在元分析环境中的好处
Ofir Harari1,2, Mohsen Soltanifar1,3, Andre Verhoek4
1Real World and Advanced Analytics, Cytel Inc., Vancouver, British Columbia, Canada.
Pharmaceutical statistics
|June 15, 2023
概括
这项研究引入了贝叶斯借用分数参数 (BFPs),用于用成人数据和历史研究为儿科试验提供信息. 该模型改进了平均平方误差,并为未来的临床试验提供了功率和样本大小计算的辅助.
科学领域:
- 生物统计学 生物统计学
- 临床试验 临床试验
- 贝叶斯的推理是贝叶斯的推理.
背景情况:
- 层次贝叶斯模型通常通过预规定的借用分数参数 (BFP) 通过使用成人数据来告知儿科随机对照试验 (RCT).
- 这种方法假设BFP直观地反映了人口相似性,这是对多个历史研究进行概括时的一个限制.
- 实证贝叶斯元分析自然扩展了这个框架,但贝叶斯BFP及其驱动器需要详细的调查.
研究的目的:
- 计算贝叶斯BFP并确定影响它们的因素.
- 为了证明与未知模型相比,平均平方误差的减少.
- 为多个外部试验所依据的RCT提供功率和样本大小计算.
主要方法:
- 贝叶斯借款分数参数 (BFPs) 的计算.
- 推动BFPs的因素分析.
- 开发用于外部告知RCT的功率和样本大小计算方法.
主要成果:
- 拟议的模型总是相对于一个不知情的模型实现同步的平均平方误差减少.
- 确定和研究驱动贝叶斯BFPs的因素.
- 介绍了功率和样本大小计算的方法.
结论:
- 开发的贝叶斯方法为将外部数据纳入临床试验设计提供了一个强大的方法.
- 该框架适用于从异质或多样化的治疗类试验中推断治疗疗效.
- 通过有效利用现有数据,这些发现支持更有效,更有信息的临床试验设计.
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