Sensitivity Analysis for Unmeasured Confounding (E-Values)
VanderWeele, T.J. and Ding, P. (2017). Sensitivity analysis in observational research: introducing the E-value. Annals of Internal Medicine, 167:268-274.
MEDIATION TOOLS AND TUTORIALS
A tutorial on mediation with SAS, Stata, SPSS, and R macros
Valeri, L. and VanderWeele, T.J. (2013). Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychological Methods, 18:137-150.
Four-way decomposition of mediation and interaction with SAS code
VanderWeele, T.J. (2014). A unification of mediation and interaction: a four-way decomposition. Epidemiology, 25:749-761.
INTERACTION TOOLS AND TUTORIALS
A tutorial on interaction with SAS and Stata code
VanderWeele, T.J. and Knol, M.J. (2014). A tutorial on interaction. Epidemiologic Methods, 3:33-72.
Methods for attributing effects to interactions with SAS and Stata code
VanderWeele, T.J. and Tchetgen Tchetgen E.J. (2014). Attributing effects to interactions. Epidemiology, 25:711-722.
An Excel spreadsheet to carry out power and sample size calculations for additive and multiplicative interactions (see Appendix 2 for instructions)
VanderWeele, T.J. (2012). Sample size and power calculations for additive interactions. Epidemiologic Methods, 1:159-188.
TUTORIAL ON META-ANALYSIS BIASES
Mathur, M. and VanderWeele, T.J. (2022). Methods to address confounding and other biases in meta-analyses: review and recommendations. Annual Review of Public Health, 43:19-35.
VIDEO OF DAY-LONG WORKSHOP ON CAUSAL MEDIATION ANALYSIS
STATISTICAL HORIZONS COURSE ON CAUSAL MEDIATION ANALYSIS