inst/CITATION
Hejazi N, Benkeser D (2024). txshift: Efficient estimation of the causal effects of stochastic interventions. doi:10.5281/zenodo.4070042, R package version 0.3.9, https://CRAN.R-project.org/package=txshift.
@Manual{,
title = {{txshift}: Efficient estimation of the causal effects of stochastic interventions},
author = {Nima S Hejazi and David Benkeser},
year = {2024},
note = {R package version 0.3.9},
doi = {10.5281/zenodo.4070042},
url = {https://CRAN.R-project.org/package=txshift},
}
Hejazi N, Benkeser D (2020). “txshift: Efficient estimation of the causal effects of stochastic interventions in R.” Journal of Open Source Software. doi:10.21105/joss.02447, https://doi.org/10.21105/joss.02447.
@Article{,
title = {{txshift}: Efficient estimation of the causal effects of stochastic interventions in {R}},
author = {Nima S Hejazi and David Benkeser},
year = {2020},
journal = {Journal of Open Source Software},
publisher = {The Open Journal},
doi = {10.21105/joss.02447},
url = {https://doi.org/10.21105/joss.02447},
}
Hejazi N, van der Laan M, Janes H, Gilbert P, Benkeser D (2020). “Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials.” Biometrics. doi:10.1111/biom.13375, https://doi.org/10.1111/biom.13375.
@Article{,
title = {Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials},
author = {Nima S Hejazi and Mark J {van der Laan} and Holly E Janes and Peter B Gilbert and David C Benkeser},
year = {2020},
journal = {Biometrics},
publisher = {Wiley Online Library},
doi = {10.1111/biom.13375},
url = {https://doi.org/10.1111/biom.13375},
}