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Controlled Direct and Mediated Effects: Definition, Identification and Bounds

机译:受控制的直接和中介效应:定义,识别和界限

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Results are given which provide bounds for controlled direct effects when no-unmeasured confounding assumptions required for the identification of these effects do not hold. Previous results concerning bounds for controlled direct effects rely on monotonicity relationships between the treatment, mediator and the outcome themselves; the results presented in this article instead assume that monotonicity relationships hold between the unmeasured confounding variable or variables and the treatment, mediator and outcome. Whereas prior results give bounds that contain the null hypothesis of no direct effect, the results presented here will in many instances yield bounds that do not contain the null hypothesis of no direct effect. For contexts in which a set of variables intercepts all paths between a treatment and an outcome, it is possible to provide a definition for a controlled mediated effect. We discuss the identification of these controlled mediated effects; the bounds for controlled direct effects are applicable also to controlled mediated effects. An example is given to illustrate how the results in the article can be used to draw inferences about direct and mediated effects in the presence of unmeasured confounding variables.
机译:当没有确定这些效果所需的无法衡量的混杂假设时,给出的结果为受控直接效果提供了界限。先前关于可控直接作用范围的结果依赖于治疗,介体和结果本身之间的单调关系。相反,本文中提出的结果假设未衡量的一个或多个混杂变量与治疗,介体和结果之间存在单调关系。先前的结果给出了包含无直接影响的无效假设的界限,而此处给出的结果在许多情况下将产生不包含无直接影响的无效假设的界限。对于其中一组变量截取治疗和结果之间的所有路径的情况,可以为受控的介导作用提供定义。我们讨论了这些受控介导作用的鉴定。受控直接效应的界限也适用于受控介导效应。给出了一个例子来说明本文中的结果如何用于在存在无法测量的混杂变量的情况下得出关于直接效应和介导效应的推论。

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