Introduction: Model evaluation in pharmacometrics relies on multiple criteria, including likelihood-based statistics, parameter precision, plausibility of covariate effects, and graphical…
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BAYESIAN QUANTIFICATION OF BIAS AND UNCERTAINTY IN SIMCYP V19 PREDICTIONS OF DRUG-DRUG INTERACTIONS
As part of the qualification of the Simcyp Simulator V19 by the European Medicine Agency (EMA) in 2025, a statistical…
Read moreSensitivity analysis and calibration for a computationally expensive PBPK model: a case study for the PERSERISâ„¢ in-situ forming PLGA-based implant
Introduction: Sensitivity Analysis (SA) describes a class of methods for studying the relationships between the inputs and outputs of a…
Read moreCross-tissue evaluation of a proteomics-derived ppm-to-nM conversion for target expression inputs to antibody PBPK/TMDD models
Introduction: In antibody therapy, accurate prediction of first-in-human dose often requires accounting for target-mediated drug disposition (TMDD), for which PBPK…
Read morePredicting Receptor Occupancy via Empirical Approximations from Nonlinear Population PK Modeling
Objectives Assessing monoclonal antibody target engagement in vivo is critical to understanding drug activity and informing the selection of a…
Read moreRE-ESTIMATION OF PEDIATRIC POPULATION PHARMACOKINETIC MODELS OF DOLUTEGRAVIR IN A CANADIAN POPULATION UNDERGOING THERAPEUTIC DRUG MONITORING
Introduction: Dolutegravir (DTG) is a widely used integrase inhibitor for HIV treatment [1]. Despite its favorable pharmacokinetic profile, interindividual variability…
Read moreVisual Predictive Checks for Real-World Data using Propensity-Score-Matching
Background: It is known that visual predictive checks (VPC) cannot be used reliably when real world data (RWD) or data…
Read moreASSESSMENT OF EXPOSURE-RESPONSE CAUSALITY AND HOMOGENEITY VIA PARTITIONED EFFECTS MODELING AND MEDIATION ANALYSIS: A MOXONIDINE CASE STUDY
Objectives Causality and homogeneity in exposure–response (E-R) analyses can be assessed by the partitioned effects (PE) model, based on an…
Read moreReference-Corrected VPCs: Addressing Model Evaluation Challenges with Real-World Data and Adaptive Designs
Background The visual predictive check (VPC) and the prediction-corrected VPC (pcVPC) are standard diagnostic tools used to evaluate the suitability…
Read moreEvaluating the utility of dose/exposure-response modeling for dose optimization in oncology
Introduction: Conventionally, single arm dose-expansion trials were widely used to select the therapeutic dose for oncology. Many gaps in the conventional…
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