来自选择的不朽时间偏差:一个主要的分层观点
Bronner P Gonçalves1, Etsuji Suzuki2
1Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
American journal of epidemiology
|July 15, 2025
概括
与资格相关的不朽时间偏差,经常被忽视,可以扭曲研究结果. 这项研究使用主要分层来解释选择偏差,并为研究中更准确的因果推理提供了潜在结果框架.
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:
- 不朽时间偏差,特别是由于治疗后的资格标准,在实验和观察研究中都是一个重要的方法挑战.
- 虽然经典的不朽时间偏差得到了充分证实,但与资格相关的不朽时间偏差在方法论文献中受到的关注较少.
研究的目的:
- 通过使用主要分层框架,提出与资格相关的不朽时间偏差的新解释.
- 证明该框架如何解决选择标准引入的治疗臂的非可比性.
- 为这种偏见提供基于潜在结果的解释,并提出替代的因果估计.
主要方法:
- 将主要分层框架应用于基于治疗开始后定义的符合条件的模型选择.
- 统计估计的解释是依据观察到的资格条件,使用部分重叠的主要层.
- 分析资格评估时间和无条件预期的潜在结果之间的关系.
主要成果:
- 主要分层框架阐明了符合资格标准导致的治疗组之间的非可比性.
- 统计模型对治疗后的资格有条件,可以通过主要层的透视来理解.
- 随着资格评估时间接近后续行动的开始,符合条件的个人结果趋于无条件的潜在结果.
结论:
- 这项研究为与资格相关的不朽时间偏差提供了潜在的基于结果的解释.
- 主要效应被认为是有价值的因果估计,补充了针对某些研究设计的目标试验仿真.
- 这些发现提倡仔细考虑资格标准的时间,以减轻因果推断中的偏见.
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