在有二元结果的集群随机试验中,用于更合规的平均因果效应的实际推断
Tansy Edwards1, Jennifer Thompson1, Charles Opondo2
1MRC International Statistics and Epidemiology Group, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Clinical trials (London, England)
|October 16, 2025
概括
启动方法准确地估计了集群随机试验中合规者之间的干预效应,即使不合规. 该方法通过提供无偏见的疗效估计来支持治疗意图分析.
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
- 流行病学 流行病学
背景情况:
- 在集群随机试验 (CRT) 中的不合规性可能导致在使用治疗意图 (ITT) 分析时低估干预效果.
- 合规者平均因果效应 (CACE) 提供了公正的疗效估计,但在CRT中提出了推断挑战.
研究的目的:
- 评估一个务实的引导方法来计算CRT中的CACE置信区间.
- 在各种不合规和结果流行情景下评估该方法的性能.
主要方法:
- 模拟的集群随机试验,不同不合规率 (5%-40%) 和相关的集群水平结果.
- 采用启动方法,考虑聚类来估计CACE及其95%置信区间 (CI).
- 评估的场景具有足够的集群为80%和90%的功率来检测0.5.5的ITT几率比率的ITT几率比.
主要成果:
- 引导方法在所有不合规级别的CACE估计中显示了可以忽略的偏差.
- 对于启动过程的置信区间,没有观察到不足的覆盖率.
- 对于20-40%的结果患病率,置信区间足够宽,但对于不太常见的结果,太宽了.
- 与ITT分析相比,功耗损失随着结果流行率的下降而增加,特别是低于20%.
结论:
- 提议的启动拉链方法是可访问的,并且在计算上是有效的,用于在CRT中估计CACE.
- 这种方法通过提供可靠的疗效估计,有效地支持治疗意图分析.
- 它提供了一种有价值的工具,用于评估在集群研究设计中存在不合规的干预措施.
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