Objectives: Missing covariates in a population PKPD model are typically imputed in order to obtain a full data set for…
Read moreOral: Methodology - New Modelling Approaches
Physiologically Structured Population Model of Intracellular Hepatitis C Virus Dynamics
Objectives: To develop a physiologically structured population model capable of describing intracellular dynamics of viral RNA and its integration with…
Read moreIncorporating clinical utility and Pharmacokinetics (PK)/Pharmacodynamics (PD) in clinical development of oncology drug candidate with a Bayesian decision analysis perspective in the context of OPTIMUS initiative
Objectives: In oncology, poor dose optimization can have negative consequences for patients,most commonly because of toxicity, including poor quality of life,…
Read morePenalized regression implementation within the SAEM algorithm to advance high-throughput personalized drug therapy
Context: In a previous study, we have shown that penalized regression approaches (such as Lasso) in combination with a model-based…
Read moreCovariate Modelling in Aggregate Data Meta Analysis: A Simulation Study Evaluating Performance of Model Linearization
Objectives: This simulation study evaluated a proposed method based on second order Taylor series approximation for fitting covariate models to…
Read moreA Visual Predictive Check for the Evaluation of the Hazard Function in Time-to-Event Analyses
Objectives: To present methods for performing visual predictive checks (VPCs) specifically for evaluating the hazard function while modeling time-to-event (TTE)…
Read moreStructural identifiability of parallel pharmacokinetic experiments as constrained systems
Objectives: Pharmacokinetic analysis using compartmental models can be restricted with respect to the estimation of parameter values. This is because…
Read moreHow to analyse multiple ordinal scores in a clinical trial? Multivariate vs. univariate analysis.
Objectives: Longitudinal measurements of ordinal responses are very frequent in clinical trials to assess drug efficacy and side effects. Usually,…
Read moreTime-varying covariates, mediation analysis and overadjustment bias in PK/PD modelling
Objectives: Pharmacokinetic-pharmacodynamic (PK/PD) modelling benefits from the inclusion of covariates to enhance predictive capabilities and explain variability [1]. However, the inclusion…
Read moreInformative Dropout and Visual Predictive Check of Exposure-Response Modeling of Ordered Categorical Data
Objectives: Physician's Global Assessment (PGA) score is a 6-point measure of psoriasis severity (0=cleared and 5=severe). PGA scores were collected…
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