Thursday 16 October, 2025
Objectives: Bayesian approaches give the pharmacometrican additional control over models and can greatly facilitate model based drug development, e.g. partial…
Read morePoster: Methodology - Estimation Methods
Comparison of item response theory and classical test theory for power/sample size for questionnaire data with various degrees of variability in items’ discrimination parameters
Thursday 16 October, 2025
Objectives: Patient-reported outcomes, usually assessed using questionnaires, are increasingly collected during clinical trials to evaluate variables not directly quantifiable such…
Read moreA computational methodology for the validation of the terminal slope estimate
Thursday 16 October, 2025
Objectives: To develop a criterion using the dC/dt versus C plot for testing whether the slope of the terminal (logC vs….
Read moreEfficient argument settings for NONMEM 7 expectation maximisation methods
Thursday 16 October, 2025
Objectives: NONMEM has traditionally used gradient based algorithms (e.g. FO and FOCE) to estimate model parameters of nonlinear mixed effects models. …
Read moreTorsten: Stan functions for pharmacometric applications. New functionality including within chain parallel computation.
Thursday 16 October, 2025
Introduction/Objectives: Stan is a widely used, open-source, probabilistic programming language and Bayesian inference engine [1, 2]. It provides a general…
Read moreSensitivity Equations Provide More Robust Gradients and Faster Computation of the FOCE Approximation to the Population Likelihood
Thursday 16 October, 2025
Objectives: The first order conditional estimation (FOCE) method [1] is still one of the parameter estimation workhorses for nonlinear mixed…
Read moreGauss-Hermite cohort population estimates of between subject variability for sparse data
Thursday 16 October, 2025
Introduction: Given a population model, sparse data occur when the number observations per each subject is less than the number…
Read moreAcknowledging dispersion increases the power to detect central tendencies in under dispersed count data at low treatment arm size
Thursday 16 October, 2025
Objectives: Traditionally, count data are modeled using the Poisson distribution that assumes mean and variance are the same. However, there…
Read moreApplication of global search methods for parameter estimation in models with poorly defined objective function surfaces
Thursday 16 October, 2025
Objectives: Assess performance of global search methods for parameter estimation in nonlinear mixed effect modeling. Methods: Re-analysis of existing clinical data. Most…
Read moreOperational characteristics of saemix, an R package implementing the SAEM algorithm
Thursday 16 October, 2025
Objectives: The saemix package for R [1] provides an implementation of the SAEM (Stochastic Approximation Expectation Maximization) algorithm. In the…
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