To cite our AMR package in publications, please use below preprint. This preprint was accepted for publication in the Journal of Statistical Software, but we are awaiting the actual publication. Many thanks for using our open-source method to work with microbial and antimicrobial data!

Berends MS, Luz CF, Friedrich AW, Sinha BNM, Albers CJ, Glasner C (2021). “AMR - An R Package for Working with Antimicrobial Resistance Data.” Journal of Statistical Software, Accepted for publication. doi: 10.1101/810622, https://www.biorxiv.org/content/10.1101/810622.

Berends MS (2021). A New Instrument for Microbial Epidemiology: Empowering Antimicrobial Resistance Data Analysis. Ph.D. thesis, University of Groningen. doi: 10.33612/diss.177417131.

Luz CF (2021). Data Science for Infection Management & Antimicrobial Stewardship. Ph.D. thesis, University of Groningen. doi: 10.33612/diss.192486375.

Corresponding BibTeX entries:

  @Article{,
    title = {AMR - An R Package for Working with Antimicrobial
      Resistance Data},
    author = {M S Berends and C F Luz and A W Friedrich and B N M Sinha
      and C J Albers and C Glasner},
    doi = {10.1101/810622},
    journal = {Journal of Statistical Software},
    pages = {Accepted for publication},
    year = {2021},
    url = {https://www.biorxiv.org/content/10.1101/810622},
  }

  @PhdThesis{,
    title = {A New Instrument for Microbial Epidemiology: Empowering
      Antimicrobial Resistance Data Analysis},
    author = {M S Berends},
    publisher = {University of Groningen},
    school = {University of Groningen},
    doi = {10.33612/diss.177417131},
    pages = {287},
    year = {2021},
  }

  @PhdThesis{,
    title = {Data Science for Infection Management & Antimicrobial
      Stewardship},
    author = {C F Luz},
    publisher = {University of Groningen},
    school = {University of Groningen},
    doi = {10.33612/diss.192486375},
    pages = {326},
    year = {2021},
  }