设计差异差异研究与分阶段治疗采用:关键概念和实际指导方针
Coady Wing1, Madeline Yozwiak1, Alex Hollingsworth2
1O'Neill School of Public and Environmental Affairs, Indiana University, Bloomington, Indiana, USA;
Annual review of public health
|January 26, 2024
概括
本指南澄清了公共卫生的差异差异 (DID) 估计器,解决了分阶段采用和时间变化的影响. 它为复杂的研究设计中强大的因果推理提供了实际的解决方案和例子.
科学领域:
- 流行病学 流行病学
- 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:
- 差异差异 (DID) 估计器对于公共卫生中的因果推断至关重要.
- 最近的文献强调了当治疗分阶段或随着时间的推移而变化时,DID的挑战.
- 在公共卫生研究中解决这些DID复杂性的现有指导是有限的.
研究的目的:
- 为解决公共卫生研究中对DID估计器的批评提供实用指南.
- 用逐步示例和代码来说明先进的DID概念.
- 为复杂的DID设计中对因果解释的威胁提供解决方案.
主要方法:
- 简单的2x2 DID设计与复杂的场景 (多个治疗组,时间段,时间变化的效果) 的比较.
- 复杂的DID估计器分解成更简单的2x2 DID子实验.
- 插图示例,代码和一个实用的检查清单,供研究人员使用.
主要成果:
- 概述了对DID估计因果解释的新发现的威胁.
- 从文献中提出的解决方案被介绍.
- 复杂的DID估计器被证明是更简单的2x2 DID子实验的平均值.
结论:
- 本指南为公共卫生研究人员提供了导航复杂DID设计的工具.
- 它增强了DID在分阶段采用设置中的因果效应识别的准确应用.
- 提供的框架在公共卫生研究中促进了更可靠的因果推断.
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