Thursday 16 October, 2025
Introduction: Standard errors of estimation (SE) measure the precision of estimation for the parameters in a statistical model. A commonly…
Read morePoster: Methodology - Estimation Methods
Conditional non-parametric bootstrap for non-linear mixed effect models
Thursday 16 October, 2025
Objectives: Standard errors of estimation (SE) measure the precision of estimation for the parameters in a statistical model. A commonly used…
Read moreEvaluation of Bias and Precision using QRPEM algorithm in Phoenix NLME for discrete data models
Thursday 16 October, 2025
Objectives:The aim was to investigate and compare the performance with respect to bias and precision of the QRPEM and LAPLACE…
Read moreRobust Importance Sampling for EM-based NLME Algorithms
Thursday 16 October, 2025
Context: For EM-based NLME algorithms such as QRPEM in Phoenix NLME and IMP in NONMEM, a Monte Carlo or quasi-Monte Carlo integration to…
Read moreEvaluation of NONMEM and Monolix by Parametric Bootstrap
Thursday 16 October, 2025
Objectives: To evaluate NONMEM and Monolix in terms of parameter estimation bias and uncertainty coverage bias using a parametric bootstrap…
Read morePerformance of the SAEM and FOCEI algorithms in the open-source non-linear mixed effect modelling tool nlmixr
Thursday 16 October, 2025
Objectives: nlmixr is a freely available open-source package for R [1] that does not depend on any commercial software, and…
Read morenlmixr: an open-source package for pharmacometric modelling in R
Thursday 16 October, 2025
Introduction: nlmixr is an open-source R package under development and freely available on GitHub[1]. It builds on RxODE[2], an R…
Read moreA modeller’s perspective on EM methods versus FOCE in NONMEM
Thursday 16 October, 2025
Introduction: Besides the classical FO and FOCE optimization methods in NONMEM, Expectation-Maximization (EM) methods have been available for over ten…
Read moreGeneralized FOCE for Discrete Response Models with Pumas
Thursday 16 October, 2025
Introduction: Traditionally, the first-order estimation method (FOCE) [1] has been associated with the Gaussian error models. However, when FOCE is…
Read moreBayesian optimization as an efficient tool for QSP model calibration: a proof-of-concept
Thursday 16 October, 2025
Introduction: Quantitative Systems Pharmacology (QSP) is being increasingly adopted as a strategy for Model Informed Drug Development (MIDD). QSP uses…
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