在估计合规者和不合规者的平均因果效应时,对主要无视性违规行为的敏感性分析
Trang Quynh Nguyen1, Elizabeth A Stuart1,2,3, Daniel O Scharfstein4
1Department of Mental Health, Johns Hopkins School of Public Health, Baltimore, Maryland.
Statistics in medicine
|June 18, 2024
概括
本研究引入了对因果效应估计中违反主要可忽视性 (PI) 假设的敏感性分析. 它评估了当合规者和不合规者在控制条件下不同时,影响估计的变化.
科学领域:
- 因果推理因果推理
- 统计敏感性分析
- 计量经济学 计量经济学
背景情况:
- 主要无视性 (PI) 对于识别不遵守的因果关系至关重要,但无法测试.
- 评估对PI违规行为的效果估计的敏感性对于可靠的因果推断至关重要.
- 违规制造出主要层次 (遵守者,不遵守者),这些层次可能以未被观察到的方式存在差异.
研究的目的:
- 开发和应用敏感性分析方法,用于在单边不合规设置中的主要无视性假设.
- 量化潜在的PI违规对因果效应估计的影响.
- 为研究人员提供实用工具,以评估他们的发现的稳定性.
主要方法:
- 通过允许在控制条件下合规者和不合规者之间的结果-平均-给定-共变量函数的差异来进行敏感性分析.
- 使用各种敏感度参数,包括赔率比率,概括赔率比率,平均比率和标准化平均差.
- 技术是根据主要可忽略性分析方法 (如结果回归,基于影响函数 (IF) 和权重方法) 量身定制的.
主要成果:
- 该研究展示了如何将灵敏度分析技术定制为基于PI的不同主要分析方法.
- 它提供了关于选择适当范围的灵敏度参数的指导.
- 使用JOBS II研究的插图展示了这些方法对各种结果类型的应用.
结论:
- 敏感性分析是评估根据主要可忽视性假设推导的因果效应估计的可靠性的重要工具.
- 提出的方法为研究人员提供了实用方法,以衡量PI违规行为的潜在影响.
- 了解结果的敏感性可以提高因果调查结果的可信性和解释性,如果存在违规行为.
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