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To cite this package in publications, please use the first citation if analyzing unmeasured confounding in a single observational study or the second citation if analyzing a meta-analysis, and the third citation if assessing selection bias:

Tyler J VanderWeele, Peng Ding (2011). “Sensitivity analysis in observational research: introducing the E-value.” Annals of Internal Medicine, 167(4), 268–274.

Maya B. Mathur, Tyler J. VanderWeele (2019). “Sensitivity analysis for unmeasured confounding in meta-analyses.” Journal of the American Statistical Association>.

Louisa H. Smith, Tyler J. VanderWeele (2019). “Bounding bias due to selection.” Epidemiology.

Corresponding BibTeX entries:

  @Article{,
    title = {Sensitivity analysis in observational research:
      introducing the E-value},
    author = {{Tyler J VanderWeele} and {Peng Ding}},
    journal = {Annals of Internal Medicine},
    year = {2011},
    volume = {167},
    number = {4},
    pages = {268--274},
  }
  @Article{,
    title = {Sensitivity analysis for unmeasured confounding in
      meta-analyses},
    author = {{Maya B. Mathur} and {Tyler J. VanderWeele}},
    journal = {Journal of the American Statistical Association>},
    year = {2019},
  }
  @Article{,
    title = {Bounding bias due to selection},
    author = {{Louisa H. Smith} and {Tyler J. VanderWeele}},
    journal = {Epidemiology},
    year = {2019},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.