群组顺序的两阶段偏好设计
Ruyi Liu1,2, Fan Li1,3, Denise Esserman1,3
1Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Statistics in medicine
|November 27, 2023
概括
本研究引入了一种群体顺序两阶段偏好设计 (GS-TSPD),以减少在临床试验中估计治疗效应,选择效应和偏好效应的样本大小要求.
科学领域:
- 临床试验设计 临床试验设计
- 生物统计学 生物统计学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 两阶段偏好设计 (TSPD) 允许对治疗疗效,患者选择效应和偏好效应进行公正的估计.
- 一个重要的TSPD限制是它对大样本大小的要求,这影响了实际实施.
- 患者的偏好显著影响治疗结果,需要考虑这一因素的设计.
研究的目的:
- 提出一个组顺序两阶段偏好设计 (GS-TSPD),以提高TSPD的效率.
- 为了在发现治疗,选择或偏好效应的充分证据时,能够提前停止临床试验.
- 通过结合顺序监测来减少临床试验中预期的资源分配.
主要方法:
- 拟议的GS-TSPD将顺序监测与传统的TSPD框架相结合.
- 重复的假设测试在中间分析期间对累积的数据进行,以评估研究终止标准.
- 集团顺序停止边界用于保持I型错误率,使用近似的顺序密度函数.
主要成果:
- 模拟表明,与传统的TSPD相比,GS-TSPD可以在较小的样本大小下实现所需的统计能力.
- 拟议的设计有效地控制了I型错误率,同时允许提前终止.
- 通过一项涉及C型肝炎治疗方式的案例研究,说明了GS-TSPD的适用性.
结论:
- 在涉及患者偏好的临床试验中,GS-TSPD为传统TSPD提供了一个统计严格和资源高效的替代方案.
- 该设计通过在积累证据的基础上提前结束试验,从而促进及时决策.
- 对于旨在了解受患者选择影响的复杂治疗效应的研究来说,GS-TSPD是一种有价值的方法进步.
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