Thursday 16 October, 2025
Objectives: Parsimonious predictive exposure-response modelling is important in clinical drug development. This study aims to introduce a general latent variable…
Read moreOral: Methodology - New Modelling Approaches
The 6 biggest pharmacometrics modelling mistakes!
Thursday 16 October, 2025
Objectives: Applied pharmacometrics is very difficult. From ensuring the designs of clinical studies are sound, through to analyses using non-linear…
Read moreMethods to Detect Non-Compliance and Minimize its Impact on Population PK Parameter Estimates
Thursday 16 October, 2025
Objectives: To develop and evaluate methods to detect non-compliance and obtain unbiased parameter estimates in a population pharmacokinetic (PK) analysis. Methods: Data…
Read moreStatistical methods to detect a disease-modifying treatment effect in clinical trials with few or very few patients for rare neurological diseases
Thursday 16 October, 2025
Objectives An increasing number of trials for novel disease-modifying therapies now focus on rare neurological diseases (RNDs), which often serve…
Read moreRedefining Parameter Estimation and Covariate Selection via Variational Autoencoders: One run is all you need
Thursday 16 October, 2025
Objectives: Classical software packages for nonlinear mixed-effects (NLME) modeling are either based on linearization techniques (FO, FOCE, La Place) or,…
Read morePerforming causal inferences with pharmacometrics models – How to bridge the gap?
Thursday 16 October, 2025
Introduction: The value proposition of pharmacometrics entails integrating longitudinal data, alongside prior knowledge, in a mathematical model to answer causal…
Read moreA new PKPD modelling approach allowing a granular Exposure-Response analysis
Thursday 16 October, 2025
Introduction: Exposure-response (ER), or Pharmacokinetic-Pharmacodynamic (PKPD), analysis is an important activity to form a basis for dosing strategy decisions, for…
Read moreFree-form text as an NLME covariate and how Embedding models enable effective use of predictive factors from a wide range of complex data
Thursday 16 October, 2025
Introduction Patient data in pharmacometrics often extend beyond numerical covariates, encompassing complex structured information (e.g., medical images) or unstructured information…
Read moreA Tutorial on Tackling High Dimensionality in QSP
Thursday 16 October, 2025
Objectives Over the last years, QSP models have been increasingly employed to support important drug development questions, such as predicting…
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