# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MDDC" in publications use:' type: software license: GPL-3.0-only title: 'MDDC: Modified Detecting Deviating Cells Algorithm in Pharmacovigilance' version: 1.0.0 identifiers: - type: doi value: 10.32614/CRAN.package.MDDC abstract: Methods for detecting signals related to (adverse event, medical product e.g. drugs, vaccines) pairs, a data generation function for simulating pharmacovigilance datasets, and various utility functions. For more details please see Liu A., Mukhopadhyay R., and Markatou M. . authors: - family-names: Liu given-names: Anran email: anranliu@buffalo.edu orcid: https://orcid.org/0000-0002-4504-9786 - family-names: Mukhopadhyay given-names: Raktim email: raktimmu@buffalo.edu orcid: https://orcid.org/0009-0007-8972-6682 - family-names: Markatou given-names: Marianthi email: markatou@buffalo.edu orcid: https://orcid.org/0000-0002-1453-8229 preferred-citation: type: article title: 'MDDC: An R and Python Package for Adverse Event Identification in Pharmacovigilance Data' authors: - family-names: Liu given-names: Anran email: anranliu@buffalo.edu orcid: https://orcid.org/0000-0002-4504-9786 - family-names: Mukhopadhyay given-names: Raktim email: raktimmu@buffalo.edu orcid: https://orcid.org/0009-0007-8972-6682 - family-names: Markatou given-names: Marianthi email: markatou@buffalo.edu orcid: https://orcid.org/0000-0002-1453-8229 journal: arXiv preprint year: '2024' notes: https://doi.org/10.48550/arXiv.2410.01168 repository: https://niuniular.r-universe.dev repository-code: https://github.com/niuniular/MDDC commit: 925f9e24a2e013b76e0f046b1296ec5269dc7ece url: https://github.com/niuniular/MDDC contact: - family-names: Liu given-names: Anran email: anranliu@buffalo.edu orcid: https://orcid.org/0000-0002-4504-9786