Methods to estimate direct and indirect effects have been rapidly expanding. It is now well documented that such mediation analyses are subject to strong no-confounding assumptions and that an unmeasured confounder of the mediator-outcome relationship can lead to substantial bias in direct and indirect effect estimates. Much less attention has been given to the question of how measurement error may bias estimates of direct and indirect effects. le Cessie and colleagues. have done a service to investigators interested in direct effects by providing simple correction formulas for direct effects estimates in a variety of mediator measurement-error scenarios. Here, we will consider the implications of these and other results, as they relate to making inferences, not just about direct effects but also about mediation and indirect effects.
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机译：估计直接和间接影响的方法正在迅速扩展。现已有充分的文件证明，这种调解分析受制于无混淆的强假设，并且无法衡量的调解人－结果关系的混杂因素可能导致直接和间接影响估计出现重大偏差。关于测量误差如何可能偏向直接和间接影响的估计，人们的关注已很少。 le Cessie和同事。通过为各种介体测量误差情况下的直接效应估计提供简单的校正公式，为对直接效应感兴趣的研究人员提供了服务。在这里，我们将考虑这些和其他结果的含义，因为它们与进行推断有关，不仅涉及直接影响，还涉及调解和间接影响。
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