The paper considers mediation analysis with longitudinal data under latent growth curve models within a counterfactual framework. Estimators and their standard errors are derived for natural direct and indirect effects when the mediator, the outcome, and possibly also the exposure can be modeled by an underlying latent variable giving rise to a growth curve. Settings are also considered in which the exposure is instead fixed at a single point in time.

翻译：本文在反事实框架内根据潜在增长曲线模型考虑调解分析及纵向数据。当调解人、结果和可能的话,以及暴露的模型可以产生潜在潜在潜在变量,从而形成增长曲线时,对自然的直接和间接影响进行估计并得出其标准错误。文件还考虑了将暴露固定在一个时间点的情况。