Introduction/Objectives: Time-to-event (TTE) information is collected in many clinical studies both for the evaluation of safety signals (e.g., time to…
Read morePoster: Methodology - Estimation Methods
Stan: an open source probabilistic programming language for high-performance statistical computing
Introduction: Stan (http://mc-stan.org/) is an open source platform for statistical modeling and high-performance statistical computation [1]. Users rely on Stan…
Read moreQuantifying the uncertainty: informative decision-support in individualised chemotherapy
Objectives: A major aspect of therapeutic drug or biomarker monitoring (TDM) is to combine monitoring data with prior knowledge for…
Read moreImproving model-based predictions of neutropenia using sequential data assimilation
Objectives: One of the major side effects of cytotoxic anticancer treatment is neutropenia, a severe reduction of neutrophils that puts…
Read moreRobust parameter estimation for dynamical systems from outlier-corrupted data
Objectives: Dynamics of cellular processes are often studied using mechanistic mathematical models. These models possess unknown parameters which are generally estimated…
Read moreEstimating Nonlinear Dynamic Systems in Pharmacology using Chaos Synchronization
Objectives: Bridging fundamental approaches to model optimization for pharmacometricians, systems pharmacologists and statisticians is a critical issue. Currently, these fields rely…
Read morePerformance of FOCEI vs SAEM in simple population pharmacokinetic analysis of rich, medium and sparse data.
Objectives: To evaluate the performance (accuracy, precision, completion rates, and runtimes) of FOCEI and SAEM estimation methods in population pharmacokinetic…
Read moreNovel Multilevel Parallel Expectation Maximization (MPEM) Estimation Methods for Population Quantitative Pharmacology Analysis
Objectives: Two levels of parallelization can be used to accelerate the performance of the parametric expectation-maximization (EM) estimation methods in…
Read moreA Markov Chain Monte Carlo Approach to Identify Pathological Situations in the Female Menstrual Cycle
Objectives: For the simulation of biological models, the identification of unknown parameter values such as growth and clearance rates of the…
Read moreModel-based diagnostics post-processing for fast automated model building; show-cased with residual error models and CWRES.
Background and Objectives: Graphical diagnostics often provide useful indication of model misspecification. Here we investigate if model-based post-processing of common diagnostics,…
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