在临床前研究中的患病率和样本大小.
Jenna K Felli1, Derek J Leishman1, Meredith A Steeves1
1Affilitation: Eli Lilly and Company, Indianapolis, USA; Eli Lilly and Company, Indianapolis, USA.
Regulatory toxicology and pharmacology : RTP
|March 31, 2025
概括
这项研究表明事件的流行率和样本大小如何影响观察事件的机会. 它为研究规划者提供了一种新的方法,可以根据未检测事件的风险来设计研究.
科学领域:
- 统计 统计 统计 统计
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 了解事件流行率和观察之间的关系对于研究设计至关重要.
- 传统的研究规划通常依赖于功率计算,这可能无法完全捕捉事件检测的细微差别.
研究的目的:
- 在一项固定规模的研究中,探索事件流行率和观察至少一个事件的概率之间的相互作用.
- 为了确定最优的流行值,最大限度地增加一个单个对象对研究的影响.
- 为研究设计提供一个框架,基于未检测的风险.
主要方法:
- 使用二项分布来建模事件观测的概率.
- 分析增加研究规模对事件观察概率的边际影响.
- 描述流行率和样本大小之间的相互作用.
主要成果:
- 观察某一事件的概率随着流行率和研究规模的增加而增加.
- 确定了增加另一个受试者的特定患病率,使得观察概率的增加最大.
- 证明了流行率和样本大小如何共同影响事件检测.
结论:
- 这项研究为研究设计提供了一种新的方法,重点关注未检测的风险.
- 这种方法可以在规划研究中做出更明智的决策,特别是对于罕见事件.
- 为研究人员提供了一种有价值的工具,以优化样本大小和流行因素.
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