试验的适应性设计,旨在优化实施策略和额外的中间分析的影响:模拟研究
Erin Nolan1,2,3, Daniel Barker4,5, Elizabeth Holliday4
1School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia. Erin.Nolan@hmri.org.au.
BMC medical research methodology
|November 29, 2025
概括
与固定设计相比,用于实施试验的适应性设计可以提高效率和功率. 这些适应性方法可以减少浪费的资源,允许根据临时分析提前停止或放下手臂.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 临床试验设计 临床试验设计
- 实施科学 实施科学
背景情况:
- 在试验中优化干预实施通常涉及复杂的,多层次的策略.
- 实施传统的多臂集群随机对照试验 (cRCT) 可能是低效和资源密集的.
- 在实施cRCTs时,适应性设计的潜在好处和最佳条件尚未得到充分理解.
研究的目的:
- 在实施cRCT中,评估适应性设计与固定设计相比的效率增长.
- 确定适应性设计提供优势的条件.
- 评估适应性设计特征 (中间分析的数量和时间) 对试验效率和决策的影响.
主要方法:
- 使用四臂集群随机对照试验 (cRCT) 框架进行了一项模拟研究.
- 贝叶斯层次模型被用来模拟固定和自适应试验设计.
- 适应性设计结合了因徒劳和手臂下降而提前停止,中间分析的数量和时间有所变化.
主要成果:
- 与大多数模拟试验属性的固定设计相比,一个和两个临时适应设计都显示出更高的功率和更低的1型错误率.
- 0.2的高类内相关性 (ICC) 对适应性设计产生了负面影响,增加了错误的手臂下降或徒劳停止的频率.
- 推迟第一个中间分析在两个中间分析设计中缓解了错误决策的速度.
结论:
- 与固定设计相比,自适应设计可以提高效率,增加统计能力,并在实施试验中减少资源浪费.
- 在实施适应性设计时,仔细考虑试验属性,特别是类内相关性,至关重要.
- 适应性设计为优化复杂的实施试验提供了一个有希望的替代方案,有可能改善资源配置和试验结果.
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