Rejoinder: A formal causal interpretation of the case-crossover design.

Rejoinder: A formal causal interpretation of the case-crossover design.
复制标题

反驳:案例交叉设计的正式因果解释。

DOI:
10.1111/biom.13746
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发表时间:
2023
期刊:
影响因子:
1.9
通讯作者:
Robins,JamesM
Robins,JamesM
中科院分区:
数学3区
文献类型:
--
作者:
Shahn,Zach;Hernán,MiguelA;Robins,JamesM

文献摘要

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我们感谢各位讨论者提出了富有洞察力的评论和问题。在我们的反驳中,我们将我们的分析扩展到其他设置,控制策略,以及与实践中如何经常使用病例交叉相关的偏倚来源,正如多位讨论者所建议的那样。我们尤其认为:事件发生后的控制暴露、具有共享暴露轨迹的设置(这在空气污染影响的病例交叉研究中很常见)、非瞬时治疗效应导致的偏差、消除由于使用对照受试者治疗的时间趋势导致的偏差,并将我们的结果扩展到连续时间设置。我们还借此机会澄清我们对可解释性的一个容易被误解的评论,我们感谢Andersen和Martinussen强调这一点。自始至终,本着讨论者的精神。贡献,我们之间的一般偏差公式和模拟和数值研究说明简化的情况下,建立洞察力。
We thank the discussants for their insightful commentary and questions. In our rejoinder, we extend our analysis to additional settings, control strategies, and sources of bias relevant to how case‐crossover is often used in practice, as suggested by multiple discussants. In particular, we consider: control exposures that follow occurrence of events, settings with shared exposure trajectories (which are common in case‐crossover studies of effects of air pollution), bias due to non‐transient treatment effects, removing bias due to time trends in treatment using control subjects, and extending our results to the continuous time setting. We also take the opportunity to clarify an easily misinterpreted comment we made about collapsibility, which we thank Andersen and Martinussen for highlighting. Throughout, in the spirit of the discussants. contributions, we iterate between general bias formulas and simulations and numerical studies from illustrative simplified scenarios to build insight.