  Transported mediation effects may contribute to understanding how and why
interventions may work differently when applied to new populations. However, we
are not aware of any estimators for such effects. Thus, we propose several
different estimators of transported stochastic direct and indirect effects: an
inverse-probability of treatment stabilized weighted estimator, a doubly robust
estimator that solves the estimating equation, and a doubly robust substitution
estimator in the targeted minimum loss-based framework. We demonstrate their
finite sample properties in a simulation study.
