Objectives: MEDI7219 is a novel orally-delivered GLP-1 peptide receptor agonist (RA) developed for the type II diabetes indication and characterized…
Read morePoster: Methodology - Covariate/Variability Models
COSSAC (COnditional Sampling use for Stepwise Approach based on Correlation tests) method for covariate search
Introduction/Objectives: Covariate search is a key element in the modeling process. As it involves a large number of runs, automatic covariate…
Read moreComparison of approaches for estimating covariate effects in full random effects models
Objectives: The full random effects modeling (FREM) approach [1] has been developed for covariate model building in nonlinear mixed effects …
Read morePopulation pharmacokinetics of ciprofloxacin in critically ill patients-a covariate analysis
Objective: For critically ill patients, physiological changes result in altered ciprofloxacin pharmacokinetics, possibly causing inadequate drug exposure. We aimed to…
Read moreOperating Characteristics of Stepwise Covariate Selection in Pharmacometric Modeling
Objectives: Stepwise covariate modeling (SCM) is a widely used tool in pharmacometric analyses to identify covariates that explain source of variability…
Read moreChanges in liver volume – a population-based approach to meta-analysis of paediatric, adult and geriatric populations
Objectives: Liver volume is a critical parameter for both donor / recipient graft size and as a scaling factor for…
Read moreNonparametric goodness-of-fit testing for parametric covariate models
Objectives: Covariates allow to identify patient subpopulations at risk or to individualize drug treatment. While covariate selection criteria have been studied…
Read moreAn information-theoretic evaluation of vine copula models for high-dimensional covariate distributions
Objectives: Statistical modelling of covariate distributions allows to create virtual populations or to impute missing values in a covariate dataset. However,…
Read moreAssessment of propensity score and Mahalanobis distance matching in mixed outcome data
Objectives: Matching methodology in pharmacometrics has been used by the FDA [1] for determining drug effect in the presence of confounding variables. Common…
Read moreThe impact of unmodelled interoccasion variability in bioavailability and absorption on parameter estimates in population pharmacokinetic analysis
Objectives: In their landmark paper Karlsson and Sheiner [1] showed that ignoring interoccasion variability in pharmacokinetic data can lead to…
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