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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "medoutcon" in publications use:'
type: software
license: MIT
title: 'medoutcon: Efficient Natural and Interventional Causal Mediation Analysis'
version: 0.2.2
doi: 10.5281/zenodo.5809519
identifiers:
- type: doi
  value: 10.32614/CRAN.package.medoutcon
abstract: Efficient estimators of interventional (in)direct effects in the presence
  of mediator-outcome confounding affected by exposure. The effects estimated allow
  for the impact of the exposure on the outcome through a direct path to be disentangled
  from that through mediators, even in the presence of intermediate confounders that
  complicate such a relationship. Currently supported are non-parametric efficient
  one-step and targeted minimum loss estimators based on the formulation of Díaz,
  Hejazi, Rudolph, and van der Laan (2020) <https://doi.org/10.1093/biomet/asaa085>.
  Support for efficient estimation of the natural (in)direct effects is also provided,
  appropriate for settings in which intermediate confounders are absent. The package
  also supports estimation of these effects when the mediators are measured using
  outcome-dependent two-phase sampling designs (e.g., case-cohort).
authors:
- family-names: Hejazi
  given-names: Nima
  email: nh@nimahejazi.org
  orcid: https://orcid.org/0000-0002-7127-2789
- family-names: Díaz
  given-names: Iván
  email: ild2005@med.cornell.edu
  orcid: https://orcid.org/0000-0001-9056-2047
- family-names: Rudolph
  given-names: Kara
  email: kr2854@cumc.columbia.edu
  orcid: https://orcid.org/0000-0002-9417-7960
preferred-citation:
  type: manual
  title: 'medoutcon: Efficient causal mediation analysis for the natural and interventional
    effects'
  authors:
  - family-names: Hejazi
    given-names: Nima S
  - family-names: Díaz
    given-names: Iván
    email: ild2005@med.cornell.edu
    orcid: https://orcid.org/0000-0001-9056-2047
  - family-names: Rudolph
    given-names: Kara E
  year: '2024'
  notes: R package version 0.2.2
  doi: 10.5281/zenodo.5809519
  url: https://github.com/nhejazi/medoutcon
repository: https://nhejazi.r-universe.dev
repository-code: https://github.com/nhejazi/medoutcon
commit: e2d3fd8a64fec23f24d8cb6270642ffee94f1c9f
url: https://github.com/nhejazi/medoutcon
contact:
- family-names: Hejazi
  given-names: Nima
  email: nh@nimahejazi.org
  orcid: https://orcid.org/0000-0002-7127-2789
references:
- type: article
  title: 'medoutcon: Nonparametric efficient causal mediation analysis with machine
    learning in R'
  authors:
  - family-names: Hejazi
    given-names: Nima S
  - family-names: Díaz
    given-names: Iván
  - family-names: Rudolph
    given-names: Kara E
  journal: Journal of Open Source Software
  year: '2022'
  doi: 10.21105/joss.03979
  url: https://doi.org/10.21105/joss.03979
- type: article
  title: Non-parametric efficient causal mediation with intermediate confounders
  authors:
  - family-names: Díaz
    given-names: Iván
  - family-names: Hejazi
    given-names: Nima S
  - family-names: Rudolph
    given-names: Kara E
  - family-names: Laan
    given-names: Mark J
    name-particle: van der
  journal: Biometrika
  year: '2020'
  doi: 10.1093/biomet/asaa085
  url: https://arxiv.org/abs/1912.09936