Segmented regression to streamline semi-mechanistic pharmacodynamic modelling of antibiotic effects
This paper proposes a three-step workflow utilizing segmented regression on time-kill assay data to efficiently derive concentration-effect relationships and streamline the development of robust semi-mechanistic pharmacodynamic models for antibiotics, as demonstrated with colistin against *Pseudomonas aeruginosa*.