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ABSTRACT: Background
Pharmacokinetic models are evaluated using three types of metrics: those based on estimating the typical pharmacokinetic parameters, those based on predicting individual pharmacokinetic parameters and those that compare data and model distributions. In the third groups of metrics, the best-known methods are Visual Predictive Check (VPC) and Normalised Prediction Distribution Error (NPDE). Despite their usefulness, these methods have some limitations, especially for the analysis of dependent concentrations, i.e., evaluated in the same patient.Objective
In this work, we propose an evaluation method that accounts for the dependency between concentrations.Methods
Thanks to the study of the distribution of simulated vectors of concentrations, the method provid
SUBMITTER: Baklouti S
PROVIDER: S-EPMC10581936 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature