Tools and Tutorials

SENSITIVITY ANALYSIS

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.

Online Calculator for the E-Value

R Package for the E-Value

Stata Package for the E-Value

Other Sensitivity Analysis Tools

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.

VIDEO OF DAY-LONG WORKSHOP ON CAUSAL MEDIATION ANALYSIS

Short Course on Causal Mediation Analysis Part I

Short Course on Causal Mediation Analysis Part II

Short Course on Causal Mediation Analysis Part III

Short Course on Causal Mediation Analysis Part IV

STATISTICAL HORIZONS COURSE ON CAUSAL MEDIATION ANALYSIS

Course on Causal Mediation Analysis