Exploring Ensemble Selection for Model Averaging in Model-informed Precision Dosing: A Tacrolimus Case Study Extended to Cefepime and InfliximabExploring Ensemble Selection for Model Averaging in Model-informed Precision Dosing: A Tacrolimus Case Study Extended to Cefepime and Infliximab
This study demonstrates that for model-informed precision dosing of tacrolimus, cefepime, and infliximab, carefully selecting a small, well-chosen ensemble of population pharmacokinetic models based on specific observation sets yields superior predictive performance compared to using all available models or relying solely on ensemble size.