使用自适应拉索进行篮子试验的频率主义设计
Lauren Kanapka1, Anastasia Ivanova1
1Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Statistics in medicine
|November 3, 2023
概括
这项研究介绍了自适应拉索,一种新的频率主义方法用于篮子试验. 它有效地在患者群体之间共享数据,提供与贝叶斯方法相似的功率和错误率,但具有增强的实施速度和灵活性.
科学领域:
- 临床试验 临床试验
- 生物统计学 生物统计学
- 药理学 药理学是指药理学的学科.
背景情况:
- 篮子试验通过在不同患者群体中测试疗法来加速药物开发.
- 传统分析对待每一个篮子独立,可能缺少跨篮子治疗效应.
- 贝叶斯动态借款方法共享数据,但风险是1型错误通胀.
研究的目的:
- 为篮子试验提出一种新的频率主义动态借款方法.
- 在篮子试验分析中评估自适应拉索的性能.
- 为现有方法提供更可实施和更快的替代方案.
主要方法:
- 开发了一种使用自适应拉索的频率主义动态借款方法.
- 进行了模拟研究,以比较适应式拉索与现有方法.
- 该方法对功率和1型错误率进行了评估.
主要成果:
- 适应式拉索证明了与贝叶斯动态借款方法相比较的统计能力.
- 提出的频率主义方法保持了可接受的1型错误率.
- 适应性拉索被证明比贝叶斯替代方案更容易实施和更快.
结论:
- 适应式拉索为篮子试验提供了一种有效的频率主义策略.
- 这种方法为分析多人群药物研究提供了实用和高效的替代方案.
- 适应性拉索的灵活性允许扩展到各种试验设计和终点.
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