Functions to report results from the sensitivity analysis for causal
mediation effects via
medsens in a tabular form.
1 2 3 4 5
output from medsens function.
additional arguments affecting the summary produced.
output from summary.medsens function.
Dustin Tingley, Harvard University, email@example.com; Teppei Yamamoto, Massachusetts Institute of Technology, firstname.lastname@example.org; Jaquilyn Waddell-Boie, Princeton University, email@example.com; Luke Keele, Penn State University, firstname.lastname@example.org; Kosuke Imai, Princeton University, email@example.com.
Tingley, D., Yamamoto, T., Hirose, K., Imai, K. and Keele, L. (2014). "mediation: R package for Causal Mediation Analysis", Journal of Statistical Software, Vol. 59, No. 5, pp. 1-38.
Imai, K., Keele, L., Tingley, D. and Yamamoto, T. (2011). Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies, American Political Science Review, Vol. 105, No. 4 (November), pp. 765-789.
Imai, K., Keele, L. and Tingley, D. (2010) A General Approach to Causal Mediation Analysis, Psychological Methods, Vol. 15, No. 4 (December), pp. 309-334.
Imai, K., Keele, L. and Yamamoto, T. (2010) Identification, Inference, and Sensitivity Analysis for Causal Mediation Effects, Statistical Science, Vol. 25, No. 1 (February), pp. 51-71.
Imai, K., Keele, L., Tingley, D. and Yamamoto, T. (2009) "Causal Mediation Analysis Using R" in Advances in Social Science Research Using R, ed. H. D. Vinod New York: Springer.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.