Please cite the following works when using the 'txshift' software package, including both the software tool and any articles describing the software package and statistical methodology. 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, . A BibTeX entry for LaTeX users is @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 , . A BibTeX entry for LaTeX users is @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 , . A BibTeX entry for LaTeX users is @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}, }