Objectives: To examine confounding biases in the estimation of dose-PK and PKPD relationships in randomized concentration controlled (RCC) trials with…
Read morePoster: Estimation methods
Extending Monolix to use models with Partial Differential Equations
Objectives: To develop a methodology able to include models made of Partial Differential Equations (PDE), instead of Ordinary Differential Equations…
Read morePrediction of precision of individual parameter estimates and of shrinkage via the Bayesian Fisher information matrix in non-linear mixed-effects models with application in pharmacokinetics
Objectives: In population pharmacokinetics (PK), precision of population parameter estimates depends on design and are evaluated using Fisher information matrix…
Read moreModeling hepatitis C viral kinetics to compare antiviral potencies of two protease inhibitors: a simulation study under real conditions of use
Objectives: 2011 has marked a milestone in HCV therapy with the approval of two protease inhibitors (PI), telaprevir (TVR) and…
Read moreEvaluation of estimation methods for repeated time to event models: application to analysis of bone events during treatment of Gaucher Disease.
Objectives: The analysis of repeated time to event (RTTE) data requires frailty models [1] and specific estimation algorithms. Karlsson et…
Read moreSet-valued methods for estimation of parameters in population models
Objectives: The estimation of parameters with statistical methods, well-known in the pharmacometric community, often rely on assumptions about parameter distributions….
Read moreThe impact of modified-release formulations on bridging of pharmacokinetic data from adults to children
Objectives: Besides the known effects of age and weight on drug disposition, formulation-specific differences create additional complexities in terms of…
Read moreDevelopment of a novel method for updating the predicted partition coefficient values generated by an existing in silico prediction method
Objective: The use of PBPK modelling is becoming an increasingly important step in the drug development process as it aims…
Read moreLinear approximation methods for fast evaluation of random effects models
Objectives: To develop and assess a fast method for evaluation of IIV, IOV and residual variability (RV) model components. Methods:…
Read moreA mixed-effects simulation approach to quantifying the impact of missing pre-treatment baseline clinical DCE-MRI data on estimated population parameters
Objectives: Our objective is to model the time course of an imaging biomarker in malignant tumors following a single dose…
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