Unification of mediation and moderation -Tyler VanderWeele

Tyler VanderWeele has published a paper in Epidemiology (posted before that at Harvard University Biostatistics Working Paper Series), that clarifies (to me to some extent) the different labels used for causal indirect effects in circulation today (notice the Baron-Kenny B.-K. effect in there!!!):

1. VanderWeele, T. J. (2014). A Unification of Mediation and Interaction: A 4-Way Decomposition. Epidemiology, 25(5), 749-761. doi: 10.1097/EDE.0000000000000121

2. VanderWeele, T. J. (2013). A unification of mediation and interaction. Harvard University Biostatistics Working Paper Series, from http://biostats.bepress.com/harvardbiostat/paper164

 
He uses some labels for some of these effects that are clarified (partly) by Bengt and Tihomir in:

1.Muthen, Advances in Latent Variable Modeling using Mplus, Storrs, Connecticut, United States, May 19, 2014, MMM 2014 slide 25 URL  

2.Muthén, B., & Asparouhov, T. (2014). Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables. Structural Equation Modeling: A Multidisciplinary Journal, 1-12. doi: 10.1080/10705511.2014.935843