Introduction: Automatic differentiation (AD) is a widely used method for calculating gradients in neural networks (NN) [1]. The traditional method…
Read morePoster: Methodology - Estimation Methods
Understanding the numerical issues in and instability of fits based on the laplace approximation
Introduction The application of the Laplace Approximation to the Marginal Log-Likelihood function has enabled researchers to analyse many statistically realistic…
Read moreA Bayesian Workflow for Minimal PBPK Modeling: A Case Study with Dapagliflozin
Objectives: Dapagliflozin is a sodium-glucose cotrasporter-2 inhibitor originally developed for the treatment of type 2 diabetes mellitus and subsequently approved…
Read moreEfficient and Informed Model Development for NLME Models with Poor Parameter Identifiability
Background Poor-identifiability of parameters pose a major challenge in population modeling, slowing down model development and potentially leading to unreliable…
Read moreCohort population estimates of covariance matrix for sparse pharmacokinetic data
Introduction: Cohort population approximates multivariate normal distribution with a discrete number of point distributions (cohorts) so that their first and…
Read moreModeling Huntington’s disease progression using a bounded integer approach
Introduction/Objectives: Huntington’s disease (HD) is a rare, fatal, and progressive neurodegenerative disorder that has been challenging to develop disease modifying…
Read moreCausal mediation analysis in a pharmacometrics context
Objectives Mediation analyses can provide strong support for biomarker development by demonstrating that a biomarker mediates a (large) part of…
Read moreOpenPMX software for FOCE-I estimation
Introduction: The estimation of mixed effect models from data is a backbone of pharmacometrics in industry and academia. Calculating a…
Read moreEfficiency comparison of different exact gradient solutions in First Order conditional methods mixed effect Non Linear Regression
Objectives: Compare two alternative approaches to parameter estimation in the first order conditional with interaction (FOCE-I) method mixed effect non-linear…
Read moreLeveraging Two-Stage d Global Sensitivity Analysis method to inform parameter estimation in PBPK models
Introduction: Therapeutic drug monitoring represents one of the main applications of pharmacometrics in the clinical setting. Parameter estimations are routinely…
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