INTRODUCTION Nonlinear mixed-effects (NLME) models with Bayesian forecasting are widely used for model-informed clinical decision-making, including guidance of post-infusion care…
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QUALIFICATION OF DECISION TABLES FOR SELECTING ACCURATE PAEDIATRIC DRUG CLEARANCE SCALING METHODS
Background: In the absence of paediatric data, accurate scaling of drug clearance is crucial for determining safe and effective doses….
Read moreA STRUCTURED APPROACH TO PHARMACOMETRIC COVARIATE MODELING: WHY THE ESTIMAND IS THE FIRST DECISION AND THE METHOD THE SECOND
Objectives Covariates in pharmacometric models have two important objectives[1]. First, they support mechanistic understanding by helping to identify the physiological…
Read moreThe analysis of a large dataset of PCR-test results in the community reveals the impact of age, variants and vaccination status on SARS-CoV-2 viral dynamics
Introduction During the COVID-19 pandemic, the emergence of SARS-CoV-2 variants of concern and the rollout of mass vaccination campaigns have…
Read moreReal-Time Interactive Visualization in Pharmacometrics: Leveraging Modern Dynamic Graphical Tools for Exploratory Analysis, Diagnostics, and Reporting
Objectives Pharmacokinetic/pharmacodynamic (PK/PD) modeling outputs, including goodness-of-fit (GOF) plots, visual predictive checks (VPCs), forest plots, and exposure–response analyses, are traditionally…
Read moreAutomatic digitization of time series plots from published sources with EVA application
Objectives: Extraction of quantitative data from published figures is a necessary but dreary and severely time-consuming step that follows systematic…
Read moreAN ASYMPTOTIC THEORY ON THE COMPETITIVE BINDING OF THERAPEUTIC AND ENDOGENOUS ANTIBODIES TO FCRN
Introduction: Over the last few decades physiology-based pharmacokinetic (PBPK) models have received increasingly more attention not just as an academic…
Read moreShould models for model-informed precision dosing (MIPD) purposes be full random-effects models (FREM) when a covariate is missing?
Introduction: In clinical practice, missing covariate data (e.g., genetic test, stool biomarker) often limits the use of model-informed precision dosing…
Read moreMeta-analytic prior integration reduces prior dependency in sparse TDM-based PopPK modeling: Application to infliximab in pediatric IBD
[Background] PopPK modeling using therapeutic drug monitoring (TDM) data from routine practice is often challenged by sparse sampling. In such…
Read moreTime-varying covariates to enhance mechanistic understanding of antibiotic-induced bacterial morphology changes
Introduction/Objectives: Carbapenem-resistant Gram-negative bacteria are becoming increasingly prevalent worldwide [1]. Improved understanding of the mechanisms of bacterial killing could potentially…
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