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To cite the causaldef package and the underlying methodology, please use: For the foundational Le Cam theory: For the causal inference and diagnostics methods used:

Akdemir D (2026). “Constraints on Causal Inference as Experiment Comparison: A Framework for Identification, Transportability, and Policy Learning.” doi:10.5281/zenodo.18367347, https://doi.org/10.5281/zenodo.18367347.

Le Cam L, Yang G (2000). Asymptotics in Statistics: Some Basic Concepts. Springer Science & Business Media.

Pearl J (2009). Causality. Cambridge University Press.

Lipsitch M, Tchetgen Tchetgen E, Cohen T (2010). “Negative controls: A tool for detecting confounding and bias in observational studies.” Epidemiology, 21(3), 383-388.

Ding P, VanderWeele T (2016). “Sensitivity analysis without assumptions.” Epidemiology, 27(3), 368-377.

Corresponding BibTeX entries:

  @Misc{,
    title = {Constraints on Causal Inference as Experiment Comparison:
      A Framework for Identification, Transportability, and Policy
      Learning},
    author = {Deniz Akdemir},
    year = {2026},
    doi = {10.5281/zenodo.18367347},
    url = {https://doi.org/10.5281/zenodo.18367347},
  }
  @Book{,
    title = {Asymptotics in Statistics: Some Basic Concepts},
    author = {Lucien {Le Cam} and Grace Lo Yang},
    year = {2000},
    publisher = {Springer Science & Business Media},
  }
  @Book{,
    title = {Causality},
    author = {Judea Pearl},
    year = {2009},
    publisher = {Cambridge University Press},
  }
  @Article{,
    title = {Negative controls: A tool for detecting confounding and
      bias in observational studies},
    author = {Marc Lipsitch and Eric {Tchetgen Tchetgen} and Ted
      Cohen},
    journal = {Epidemiology},
    year = {2010},
    volume = {21},
    number = {3},
    pages = {383-388},
  }
  @Article{,
    title = {Sensitivity analysis without assumptions},
    author = {Peng Ding and Tyler J VanderWeele},
    journal = {Epidemiology},
    year = {2016},
    volume = {27},
    number = {3},
    pages = {368-377},
  }

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.
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