根据可转移性假设,学习新目标人群中的治疗效应,以测量相对效应的相对效应
Issa J Dahabreh1,2,3, Sarah E Robertson4,5, Jon A Steingrimsson6
1CAUSALab, Harvard T.H. Chan School of Public Health, Boston, MA, USA. idahabreh@hsph.harvard.edu.
European journal of epidemiology
|May 9, 2024
概括
相对效应措施的可转移性与差异效应措施在很大程度上是不相容的. 这项研究探讨了在目标人群中使用可移植的相对效果测量方法来识别因果关系,特别是在新的实验性治疗中.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 因果推理因果推理
背景情况:
- 研究人员经常假设条件相对效应测量在整个人群中是可传输的.
- 因果效应的可转移性对于将试验结果应用于新环境至关重要.
研究的目的:
- 在可运输的条件相对效应措施的假设下,研究在目标人群中确定因果关系的影响.
- 评估可运输性对于相对与差异效应措施的兼容性.
- 开发用于估计目标人群治疗有效性的方法.
主要方法:
- 研究了相对和差异效应措施的可转运性假设的兼容性.
- 开发了用于识别边际因果估计的方法,使用可运输的相对效应措施.
- 将结果扩展到具有部分可交换性和有限共变量数据的场景.
主要成果:
- 相对效应措施的可转移性与差异效应措施的可转移性在很大程度上是不相容的,除非存在特定条件.
- 为了确定人口平均因果效应的方法,根据相对效应测量运输性得出了方法.
- 即使只需要混共变量的一个子集才能实现可运输性,也可以进行识别.
结论:
- 该研究为使用可运输相对效应尺度识别因果关系效应提供了一个框架.
- 结果突出了相对与差异效应测量可运输性所需的不同假设.
- 拟议的估计器可以在标准的统计软件中实现,用于现实世界的应用.
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