HIGHLIGHTS
- who: Marc Aerts and colleagues from the Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Diepenbeek, Veterinary Medicine, Universidad Complutense, Madrid, Spain have published the article: A multicategory logit model detecting temporal changes in antimicrobial resistance, in the Journal: PLOS ONE
- what: The authors focus on the MIC data generated for the antimicrobial ciprofloxacin (CIPR).
- how: In this contribution the authors developed a particular family of multicategory logit models for estimating and modelling MIC distributions over time.
- future: These methods can be considered as extensions of linear regression models with . . .
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