Objectives: The variability in patients’ therapeutic responses underscores the importance of understanding pharmacokinetics (PK) and pharmacodynamics (PD) for effective drug…
Read morePoster: Methodology - Covariate/Variability Models
Causal considerations in Exposure-Response and Population PK covariate analysis
Background & Objectives: Pharmacometric models often address causal questions, specifically examining the impact of changing an independent variable (X) on…
Read moreCovariate Modelling and Bayesian Inference for Physiologically Based Pharmacokinetic Models
Objectives: We describe a general framework for integrating data on individual-specific covariates (measurable physiological characteristics and other parameters dependent on those)…
Read morepmxcopula – R package for copula-based covariate simulation
Introduction: Patient characteristics or covariates can inform treatment optimization using pharmacometric simulations. Incorporating realistic sets of patient covariates, i.e. virtual…
Read moreGeneration of realistic virtual adult populations using the NHANES database: a copula approach
Introduction: Generation of virtual patient populations which consist of sets of patient-associated covariates is of relevance for pharmacometric simulations of…
Read moreComparison of PK models using normal and log-transformed scale data
Introduction: Pharmacometric modelers usually choose on what form of data to use: normal scale or natural log-transformed data. While it is…
Read moreExtension of the covariate clinical relevance determination in population pharmacokinetic analyses to the Least Absolute Shrinkage and Selection Operator (LASSO) and to Genetic Algorithm (GA) approaches
Introduction: Identifying covariate clinical relevance (CCR) is essential for patient dose adjustment and is a key step according to health…
Read moreA unifying approach to sampling NLME model parameters
Objectives: Simulation of models is a key element of model diagnostics as well as a popular method for model-based prospective decision…
Read moreLeveraging immunogenicity data and logistic regression for detection of covariate effects on vaccine efficacy
Introduction: This work introduces a novel effort to use immune response biomarkers to help identify covariates affecting vaccine efficacy (VE)….
Read moreVirtual Patient Populations: Comparison of Approaches in Application to QSP Model Of Erythropoiesis
Introduction: In a standard situation, the QSP model describes some “reference patient”, i.e. the model parameters are fixed values, allowing…
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