Reply to commentary by Imai, Keele, Tingley, and Yamamoto concerning causal mediation analysis.

Causal Mediation Analysis 1 Running head: IMAI, KEELE, TINGLEY, AND YAMAMOTO Commentary: Practical Implications of Theoretical Results for Causal Mediation Analysis

Reply to Commentary by Imai, Keele, Tingley, and Yamamoto (2014) Concerning Causal Mediation Analysis

This comment clarifies how Structural Causal Models (SCM) unify the graphical and potential outcome approaches to mediation, and why the resulting mediation formulas are identical in both frameworks. It further explains under what conditions ignorability based assumptions are over-restrictive and why such assumptions require graphical interpretations before they can be judged for plausibility. ...

Comment on Pearl: Practical implications of theoretical results for causal mediation analysis.

Mediation analysis has been extensively applied in psychological and other social science research. A number of methodologists have recently developed a formal theoretical framework for mediation analysis from a modern causal inference perspective. In Imai, Keele, and Tingley (2010), we have offered such an approach to causal mediation analysis that formalizes identification, estimation, and se...

Causal Mediation Analysis Using R∗

Causal mediation analysis is widely used across many disciplines to investigate possible causal mechanisms. Such an analysis allows researchers to explore various causal pathways, going beyond the estimation of simple causal effects. Recently, Imai, Keele, and Yamamoto (2010c) and Imai, Keele, and Tingley (2010b) developed general algorithms to estimate causal mediation effects with the variety...

Chapter 8 Causal Mediation Analysis Using R

Causal mediation analysis is widely used across many disciplines to investigate possible causal mechanisms. Such an analysis allows researchers to explore various causal pathways, going beyond the estimation of simple causal effects. Recently, Imai et al. (2008) [3] and Imai et al. (2009) [2] developed general algorithms to estimate causal mediation effects with the variety of data types that a...