概括
临床试验中治疗效果的传统二分法,ITT或每协议,是不够的. ICH E9 (R1) 估计框架为定义治疗效应提供了更好的方法,考虑间流事件.
科学领域:
- 临床试验方法论 临床试验方法论
- 医学中的统计分析.
- 药学研究 药学研究
背景情况:
- 传统的统计文献经常将临床试验中的治疗效应简化为意图治疗 (ITT) 或每协议 (PP) 效应.
- "每协议"效应和"坚持"的概念经常令人困惑,特别是对于非统计学家来说,导致对试验结果的误解.
- 现有的坚持性和每条协议效应的定义不能充分解决现实世界临床试验的复杂性,例如治疗中断或使用救援药物.
研究的目的:
- 突出传统ITT与每协议二分法在临床试验中描述治疗效果的局限性.
- 倡导采用ICH E9 (R1) 估计框架,以更准确和临床相关的治疗效应定义.
- 强调在临床试验设计和分析中明确定义估计值和处理间流事件的重要性.
主要方法:
- 批判性地审查统计文献的意图治疗 (ITT) 和每协议 (PP) 效应的定义和应用.
- 分析从简单的ITT/PP二分法中产生的模两可和临床无关.
- 介绍并解释ICH E9 (R1) 估计框架用于定义治疗效应的原则.
主要成果:
- 传统的ITT和每协议效应二分法不足以捕捉临床相关治疗效应的范围.
- "每个协议"和"遵守"的术语往往定义不佳,导致研究人员和临床医生之间的混乱.
- ICH E9 (R1) 估计框架提供了一种结构化和全面的方法,通过明确考虑间接事件来定义治疗效应.
结论:
- 统计文献应该超越简单的ITT与每条协议框架来描述治疗效应.
- 实施ICH E9 (R1) 估计框架对于提高临床试验中治疗效果定义的清晰度和临床相关性至关重要.
- 在评估框架内对间流事件的正确定义和处理对于稳健的临床试验解释至关重要.
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