Estimation of Natural Indirect Effects Robust to Unmeasured Confounding and Mediator Measurement Error
Published 18 October 2019 The use of causal mediation analysis to evaluate the pathways by which an exposure affects an outcome is widespread in the social and biomedical sciences. Recent advances in this area have established formal conditions for identification and estimation of natural direct and indirect effects. However, these conditions typically involve stringent assumptions of no unmeasure