inst/CITATION
Hejazi NS, Díaz I, Rudolph KE (2022). medoutcon: Efficient causal mediation analysis for the natural and interventional effects. doi:10.5281/zenodo.5809519, R package version 0.2.0, https://github.com/nhejazi/medoutcon.
@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 = {2022},
note = {R package version 0.2.0},
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, https://doi.org/10.21105/joss.03979.
@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, https://arxiv.org/abs/1912.09936.
@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},
}