Objectives: The aim of our work was to analyse the best dose schedule in order to achieve similar drug exposure…
Read morePoster: Methodology - Covariate/Variability Models
Conditional distribution modeling for covariates simulation using classification and regression trees methods
Objectives: Clinical trial simulation (CTS) is a valuable tool in drug development. To obtain realistic scenarios, the subjects included in…
Read moreHandling inter-occasion variability in model-based therapeutic drug monitoring
Objectives: The potential of dose individualization using therapeutic drug monitoring (TDM) is known to be challenged by high magnitudes of inter-occasion…
Read moreNew dosing recommendations in patients receiving deferiprone chelation therapy in the presence of renal complications
Objectives: To characterise the pharmacokinetics of deferiprone [1, 2] using a model-based approach and assess the effect of demographic and…
Read moreSecond order Taylor expansion of likelihood-based models for fast covariate and random effect model building
Objectives: Linearization of models with respect to the random effect variable has been proved to work well for continuous models…
Read moreRisk score based on survival multivariate analysis of baseline patients’ characteristics reduces variability in a PKPD model of tumor growth inhibition
Objectives: (i) Develop a PKPD model of longitudinal tumor size in hepatocellular carcinoma (HCC) patients receiving FGF401, an oral FGFR4…
Read moreWithin subject variability in pharmacometric count data modeling analysis: dynamic inter-occasion variability and stochastic differential equations
Objectives: Parameter variation in studies can be characterized as within subject variability (WSV) in pharmacometric models. WSV has previously been…
Read moreGlobal Sensitivity Analysis for Effects of Correlated Covariates Using Shapley Value
Introduction: Global sensitivity analysis (GSA) is a simulation-based approach to assess impacts of each factor on interested outcomes [1]. We…
Read moreEvaluation of Variance-based Global Sensitivity Analysis for Covariate Effects
Objectives: Understanding a contribution of each covariate effect to an interested index (e.g., maximum concentration [Cmax], area under the concentration-time…
Read moreRelative Bioavailability to Describe Variability in Exposure for an Oral Drug: A Population PK Model of Abemaciclib in Cancer Patients
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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