Poster: Methodology - Covariate/Variability Models

Simulations of populations with different creatinine clearance range and weight to select the best dose of NV22413

Thursday 16 October, 2025

Objectives: The aim of our work was to analyse the best dose schedule in order to achieve similar drug exposure…

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Conditional distribution modeling for covariates simulation using classification and regression trees methods

Thursday 16 October, 2025

Objectives: Clinical trial simulation (CTS) is a valuable tool in drug development. To obtain realistic scenarios, the subjects included in…

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Handling inter-occasion variability in model-based therapeutic drug monitoring

Thursday 16 October, 2025

Objectives: The potential of dose individualization using therapeutic drug monitoring (TDM) is known to be challenged by high magnitudes of inter-occasion…

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New dosing recommendations in patients receiving deferiprone chelation therapy in the presence of renal complications

Thursday 16 October, 2025

Objectives: To characterise the pharmacokinetics of deferiprone [1, 2] using a model-based approach and assess the effect of demographic and…

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Second order Taylor expansion of likelihood-based models for fast covariate and random effect model building

Thursday 16 October, 2025

Objectives: Linearization of models with respect to the random effect variable has been proved to work well for continuous models…

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Risk score based on survival multivariate analysis of baseline patients’ characteristics reduces variability in a PKPD model of tumor growth inhibition

Thursday 16 October, 2025

Objectives: (i) Develop a PKPD model of longitudinal tumor size in hepatocellular carcinoma (HCC) patients receiving FGF401, an oral FGFR4…

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Within subject variability in pharmacometric count data modeling analysis: dynamic inter-occasion variability and stochastic differential equations

Thursday 16 October, 2025

Objectives: Parameter variation in studies can be characterized as within subject variability (WSV) in pharmacometric models. WSV has previously been…

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Global Sensitivity Analysis for Effects of Correlated Covariates Using Shapley Value

Thursday 16 October, 2025

Introduction: Global sensitivity analysis (GSA) is a simulation-based approach to assess impacts of each factor on interested outcomes [1]. We…

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Evaluation of Variance-based Global Sensitivity Analysis for Covariate Effects

Thursday 16 October, 2025

Objectives: Understanding a contribution of each covariate effect to an interested index (e.g., maximum concentration [Cmax], area under the concentration-time…

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Relative Bioavailability to Describe Variability in Exposure for an Oral Drug: A Population PK Model of Abemaciclib in Cancer Patients

Thursday 16 October, 2025

Objectives: Describe the population pharmacokinetics (PK) of abemaciclib in cancer patients enrolled on a Phase I clinical trial. Methods: PK data were…

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