评估与非用户控制的时间相关偏差
Hiroya Morita1, Kentaro Matsuura2, Nodoka Seya1
1Department of Health Data Science, Tokyo Medical University.
Journal of epidemiology
|October 19, 2025
概括
在观察性研究中,不朽时间偏差可以通过仔细定义治疗和对照组的开始时间 (零时间) 来减少. 从治疗开始日期 (TID) 开始将非使用者与治疗患者匹配,有效地将偏差降到最低.
科学领域:
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 估计治疗对时间到事件结果的影响的观察性研究容易产生与时间相关的偏见.
- 不朽的时间偏差,包括错误分类和排除的类型,往往源于错误的时间零定义,特别是非用户控制.
研究的目的:
- 用模拟和现实世界的数据来说明和量化非用户控制中的不朽时间偏差.
- 为了在观察性研究中最大限度地减少偏差,比较不同的零时定义.
主要方法:
- 进行了模拟,并没有混,比较了三种零时定义方法.
- 方法1:两组从队列进入日期 (CED) 开始跟踪.
- 方法2:从治疗开始日期 (TID) 开始的治疗组,非使用者从CED. 方法3:两组都从TID进行了跟踪,非使用者与治疗患者匹配.
主要成果:
- 方法1和2在估计治疗效果时显示出显著的不朽时间偏差,而方法1显示出更大的偏差.
- 方法3,涉及匹配的非用户从TID跟踪,表现出最小的偏差,即使与时间依赖的混.
结论:
- 准确的零时定义对于减轻观察性研究中与时间相关的偏差至关重要.
- 从治疗开始日期开始使用匹配的非用户对照是减少不朽时间偏差的强大策略.
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