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首页> 外文期刊>Epidemiology >Confounders, Mediators, or Colliders What Types of Shared Covariates Does a Sibling Comparison Design Control For?
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Confounders, Mediators, or Colliders What Types of Shared Covariates Does a Sibling Comparison Design Control For?

机译:混乱,调解员或煤机是哪种类型的共享协变者进行兄弟姐妹比较设计控制?

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摘要

The sibling comparison design is an important epidemiologic tool to control for unmeasured confounding, in studies of the causal effect of an exposure on an outcome. It is routinely argued that within-family associations are automatically controlled for all measured and unmeasured covariates that are shared (constant) within sets of siblings, such as early childhood environment and parental genetic makeup. However, an important lesson from modern causal inference theory is that not all types of covariate control are desirable. In particular, it has been argued that collider control always leads to bias, and that mediator control may or may not lead to bias, depending on the research question. In this article, we use directed acyclic graphs (DAGs) to distinguish between shared confounders, shared mediators and shared colliders, and we examine which of these shared covariates the sibling comparison design really controls for.
机译:兄弟姐妹比较设计是一种重要的流行病学工具,用于控制未测量的混淆,研究了对结果的因果效果的研究。 经常认为,在兄弟姐妹群中共享(常数)的所有测量和未测量的协会,自动控制家庭协会,例如儿童早期环境和父母遗传构成。 然而,来自现代因果推理理论的重要教训是,并非所有类型的协变量控制都是可取的。 特别是,有人认为撞机控制始终导致偏差,并且该调解器控制可能或可能不会导致偏见,具体取决于研究问题。 在本文中,我们使用指示的无循环图(DAG)来区分共享混乱,共享调解员和共享侵占者,并考验这些共享协调会中的哪一个兄弟比较设计真正控制。

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