Objective: To demonstrate advanced population analysis and simulation abilities of S-ADAPT. Methods: S-ADAPT is a Fortran 95 open-source, free program…
Read moreOral Presentation: Stuart Beal Methodology Session
Maximum Likelihood Estimation Methods: Performances in Count Response Models Population Parameters
Objectives: Count responses represent a full class of common pharmacodynamic outcomes, there is a need for greater knowledge in Non-Linear…
Read moreModel Selection Using the Minimum Hellinger Distance Criterion (MHDC) with an Introduction to Minimum Hellinger Distance Estimation (MHDE)
PDF of presentation Background: Model selection algorithms are prevalent in exploratory exposure-response model development. Of these, likelihood based criteria, such…
Read moreEvaluation of the nonparametric estimation method in NONMEM VI beta
Introduction: In NONMEM VI beta, an option exists for estimation of a nonparametric parameter (eta) distribution. In this, the parameter…
Read moreThe SAEM algorithm and its implementation in MONOLIX 2.1
Introduction: The statistical model for most population PK/PD analyses is the nonlinear-mixed effects model (NLMEM). As opposed to linear models,…
Read moreWhat Additional Information Can we Retrieve When Compliance is Accounted For? An explicit Compliance-Pharmacokinetic Formalism
Objectives: Compliance reflects the patient drug input and has to be considered as a history of drug intake. Quality of…
Read moreConditional weighted residuals, an improved model diagnostic for the FO/FOCE methods.
PDF of presentation Objectives: Weighted residuals (WRES) are a common diagnostic tool in population model building and evaluation, generally used…
Read moreParameter estimation in non-linear mixed effects models using interval analysis
Objectives: Parameter estimation for non-linear mixed effects models is an important aspect of model based drug development. Typically, these models…
Read moreEvaluation of the PK and PK-PD libraries of MONOLIX: A comparison with NONMEM
Introduction: The statistical model for most population PK/PD analyses is the nonlinear-mixed effects model (NLMEM). As opposed to linear models,…
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