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 (2022). txshift: Efficient estimation of the causal effects of stochastic interventions. doi:10.5281/zenodo.4070042, R package version 0.3.8, 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.

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.

Corresponding BibTeX entries:

  @Manual{,
    title = {{txshift}: Efficient estimation of the causal effects of
      stochastic interventions},
    author = {Nima S Hejazi and David Benkeser},
    year = {2022},
    note = {R package version 0.3.8},
    doi = {10.5281/zenodo.4070042},
    url = {https://CRAN.R-project.org/package=txshift},
  }

  @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},
  }

  @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},
  }