The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

Tutorial on how to apply the R packages 'micd' and 'tpc'.

Andrews R, Bang C, Didelez V, Witte J, Foraita R (2024). “Software application profile: tpc and micd—R packages for causal discovery with incomplete cohort data.” International Journal of Epidemiology, 53(5). doi:10.1093/ije/dyae113.

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, 41(23), 4716–4743. 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 = {Software application profile: tpc and micd—R packages for
      causal discovery with incomplete cohort data},
    author = {Ryan M. Andrews and Christine W. Bang and Vanessa Didelez
      and Janine Witte and Ronja Foraita},
    year = {2024},
    journal = {International Journal of Epidemiology},
    volume = {53},
    number = {5},
    doi = {10.1093/ije/dyae113},
  }
  @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},
    volume = {41},
    number = {23},
    pages = {4716--4743},
    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.