时间变化的倾向得分与顺序分层方法的比较,以与时间变化的治疗方法进行纵向匹配
Morgan Richey1, Matthew L Maciejewski2,3,4,5, Lindsay Zepel1
1Department of Population Health Sciences, Duke University School of Medicine, Durham, 27705, NC, USA.
BMC medical research methodology
|November 13, 2024
概括
时间变化的倾向分数 (tvPS) 与纵向研究中的顺序分层相比,提供更高的匹配完整性. 这两种方法都显示了可比的覆盖范围,偏差和因果推断的精度,使得tvPS成为一个有价值的工具.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
- 医疗服务研究 医疗服务研究
背景情况:
- 纵向队列研究需要强大的因果推断匹配方法,特别是与时间依赖的治疗方法.
- 现有的方法,如顺序分层和时间变化的倾向分数,尚未全面比较.
- 了解权衡对于在观察性研究中选择合适的方法至关重要.
研究的目的:
- 为了比较时间变化倾向得分 (tvPS) 与顺序分层 (SS) 在纵向匹配中的性能.
- 在不同的采样框架中评估匹配的完整性,偏差,覆盖范围和精度.
- 为了在观察性研究中选择与时间变化的暴露相匹配的策略.
主要方法:
- 进行了一项模拟研究,使用了减肥手术患者的回顾性队列.
- 三种匹配方法进行了比较:tvPS,SS-Full (对所有共变量进行准确匹配) 和SS-Selected (对一组共变量进行准确匹配).
- 在深 (50:1) 和浅 (5:1) 的比较器采样框架中进行了比较.
主要成果:
- 在深层和浅层采样框架中,tvPS保留了超过99.9%的治疗患者.
- 顺序分层保留了较少的患者:SS-Full (91.6%深,73.9%浅) 和SS-Selected (98.2%深,92.0%浅).
- 在两个采样框架中的所有方法中,覆盖率,精度和偏差都是可比的.
结论:
- 与顺序分层相比,时间变化倾向得分 (tvPS) 显示出优越的匹配完整性.
- 无论是tvPS还是顺序分层,对因果推断的覆盖范围,偏差和精度都相当.
- 由于其更高的保留率,当外部有效性是优先考虑时,tvPS是纵向匹配的首选方法.
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