Nonlinear Mixed-Effects and Full Bayesian Population Pharmacokinetic Analysis of Ceftolozane-Tazobactam in Critically Ill Patients
This study demonstrates that incorporating literature-derived priors into Bayesian hierarchical modeling enables a more robust and physiologically consistent population pharmacokinetic characterization of ceftolozane-tazobactam in critically ill patients with small sample sizes, overcoming the limitations of traditional nonlinear mixed-effects modeling to better optimize dosing strategies.