  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.
