Introduction Many population PK models are being developed from routinely collected, observational data, such as TDM data—especially those for use…
Read morePoster: Methodology - Covariate/Variability Models
PMX-CovEval: an open-source framework for robust and consistent evaluation of covariate model selection techniques
Introduction Covariate modeling is one of the most time-consuming steps in developing population pharmacokinetics models. While a total of 22…
Read moreOptimising covariate allocation at design stage using Fisher Information Matrix for Non-Linear Mixed Effects Models in pharmacometrics
Objectives This work focuses on designing experiments for pharmacometrics studies using Non-Linear Mixed Effects Models (NLMEM) including covariates to describe…
Read moreThe Regularized Horseshoe for Covariate Selection Improves Convenience and Predictive Performance in Population PK/PD Models
Introduction We introduce the Regularized Horseshoe (RHS) in the context of covariate selection for population PK/PD models. Covariate selection for…
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