评估治疗效果异质性的现代方法来自临床试验和观察数据
Ilya Lipkovich1, David Svensson2, Bohdana Ratitch3
1Advanced Analytics and Access Capabilities, Eli Lilly and Company, Indianapolis, Indiana, USA.
Statistics in medicine
|July 26, 2024
概括
本综述强调了在临床试验中评估治疗效应 (HTE) 异质性的先进统计方法. 它将原则性方法与常见实践区分开来,有助于个性化医学的发展.
科学领域:
- 生物统计学 生物统计学
- 临床试验方法论 临床试验方法论
- 制药指标 (Pharmacometrics) 是一个指标.
背景情况:
- 评估治疗效应 (HTE) 的异质性对于个性化医学至关重要.
- 现有的HTE评估方法通常依赖于基本实践,缺乏严格的统计依据.
- 区分原则和基本的HTE评估方法对于可靠的子组识别和个性化治疗方案至关重要.
研究的目的:
- 审查HTE评估的统计方法的最新进展.
- 用已确定的特征将原则性HTE方法与常见实践区分开来.
- 讨论各种HTE评估方法的绩效指标和应用.
主要方法:
- 在随机临床试验和观察性研究中评估HTE的统计方法的审查.
- 基于将原则性方法与常见实践区分开来的特征,对HTE方法的分类.
- 使用模拟数据和历史临床试验案例研究,说明新的HTE评估方法.
主要成果:
- 确定用于HTE评估的关键统计方法,包括子组分析和个性化治疗效果估计.
- 将原则性HTE方法与常见实践进行比较,突出优缺点.
- 通过实践示例展示新的HTE评估技术.
结论:
- 先进的统计方法可以更好地评估治疗效应的异质性.
- 原则性HTE方法提供了一个比常规实践更强大的框架,用于识别治疗效果变化.
- 审查的方法和案例研究为优化临床试验设计和治疗个性化提供了宝贵的见解.
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