Objectives: To compare the relative performance of the NONMEM 7 [1] BAYES MCMC method with WinBUGS [2] plus the BUGSModelLibrary [3] by…
Read morePoster: Methodology- Algorithms
Estimation of Individual Parameters of a Mixed–Effects Dose-Toxicity Model for Ordinal Data
Objectives: This work addresses the issue of estimating the individual effects (empirical Bayes estimates (EBEs)) of mixed-effects models for ordered…
Read moreODE solvers and stiffness issues for complex population PK models
Objectives: With the aim to study PK/PD with a system biology approach, we wish to address the question of parameter…
Read moreMonolix benefits from external modules to manage complex ODE: Illustration with a population analysis of Irinotecan and its metabolites.
Objectives: The wish to develop integrative mathematical models to better monitor anti-cancer drugs pharmacokinetic (PK), efficacy and toxicity requires the…
Read moreSimulation and evaluation of bivariate Beta distribution for interval response variables
Objectives: In certain clinical trials, the response variable is restricted into an interval (e.g. visual analogue scale VAS). This response…
Read moreSome Stochastic Algorithms For The Smooth Non Parametric (SNP) Estimator
Background: In population analyses, standard parametric methods assume the normality of the random effects (ETAs), even if this may be unrealistic…
Read moreLinear Mixed Effects models based on Stochastic Differential Equations in R
Objectives: In the master thesis [1] and article [2] a framework for handling Non-Linear Mixed Effects models based on Stochastic…
Read moreNew models for handling correlated underdispersed Likert pain scores
Objectives: Pain intensity is principally assessed using rating scales comprising eleven categories, like the Likert scale. Population models available to…
Read moreNonlinear Mixed Effects Estimation Algorithms: A Performance Comparison for Continuous Pharmacodynamic Population Models
Background: Nonlinear mixed-effects modelling has enabled substantial advances in the learning-and-confirming process during drug development. It has been accompanied by…
Read moreInvestigation of performances of FOCE and LAPLACE algorithms in NONMEM VI in population parameters estimation of PK and PD continuous data
Background: At PAGE 2005, P. Girard and F. Mentré presented a study where the performance of several estimation methods used…
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