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To cite micd in publications use the most appropriate among:

The first analysis in which micd was applied:

Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk R, Ahrens W, Didelez V (2020). “Causal discovery of gene regulation with incomplete data.” Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(4), 1747–1775. doi:10.1111/rssa.12565.

A tutorial on how to use micd in practice.

Andrews R, Foraita R, Didelez V, Witte J (2022). “A practical guide to causal discovery with cohort data.” pre-print. 2108.13395, https://arxiv.org/abs/2108.13395.

Performance of multiple imputation vs. test-wise deletion in causal discovery:

Witte J, Foraita R, Didelez V (2022). “Multiple imputation and test-wise deletion for causal discovery from incomplete cohort data.” Statistics in Medicine. doi:10.1002/sim.9535.

Corresponding BibTeX entries:

  @Article{,
    title = {Causal discovery of gene regulation with incomplete data},
    author = {Ronja Foraita and Juliane Friemel and Kathrin G\"unther
      and Thomas Behrens and J\"orn Bullerdiek and Rolf Nimzyk and
      Wolfgang Ahrens and Vanessa Didelez},
    journal = {Journal of the Royal Statistical Society: Series A
      (Statistics in Society)},
    year = {2020},
    volume = {183},
    number = {4},
    pages = {1747--1775},
    doi = {10.1111/rssa.12565},
  }
  @Article{,
    title = {A practical guide to causal discovery with cohort data},
    author = {Ryan M. Andrews and Ronja Foraita and Vanessa Didelez and
      Janine Witte},
    year = {2022},
    journal = {pre-print},
    archiveprefix = {arXiv},
    primaryclass = {stat.AP},
    arxivid = {2108.13395},
    eprint = {2108.13395},
    url = {https://arxiv.org/abs/2108.13395},
  }
  @Article{,
    title = {Multiple imputation and test-wise deletion for causal
      discovery from incomplete cohort data},
    author = {Janine Witte and Ronja Foraita and Vanessa Didelez},
    journal = {Statistics in Medicine},
    year = {2022},
    doi = {10.1002/sim.9535},
  }

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.