Please cite the following works when using the 'medoutcon' software package, including both the software tool and the article describing the statistical methodology. Hejazi NS, Díaz I, Rudolph KE (2024). _medoutcon: Efficient causal mediation analysis for the natural and interventional effects_. doi:10.5281/zenodo.5809519 , R package version 0.2.2, . A BibTeX entry for LaTeX users is @Manual{, title = {{medoutcon}: Efficient causal mediation analysis for the natural and interventional effects}, author = {Nima S Hejazi and Iván Díaz and Kara E Rudolph}, year = {2024}, note = {R package version 0.2.2}, doi = {10.5281/zenodo.5809519}, url = {https://github.com/nhejazi/medoutcon}, } Hejazi NS, Díaz I, Rudolph KE (2022). “medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R.” _Journal of Open Source Software_. doi:10.21105/joss.03979 , . A BibTeX entry for LaTeX users is @Article{, journal = {Journal of Open Source Software}, title = {{medoutcon}: Nonparametric efficient causal mediation analysis with machine learning in {R}}, author = {Nima S Hejazi and Iván Díaz and Kara E Rudolph}, year = {2022}, doi = {10.21105/joss.03979}, url = {https://doi.org/10.21105/joss.03979}, } Díaz I, Hejazi NS, Rudolph KE, van der Laan MJ (2020). “Non-parametric efficient causal mediation with intermediate confounders.” _Biometrika_. doi:10.1093/biomet/asaa085 , . A BibTeX entry for LaTeX users is @Article{, journal = {Biometrika}, title = {Non-parametric efficient causal mediation with intermediate confounders}, author = {Iván Díaz and Nima S Hejazi and Kara E Rudolph and Mark J {van der Laan}}, year = {2020}, doi = {10.1093/biomet/asaa085}, url = {https://arxiv.org/abs/1912.09936}, }