Experimental design is fundamental to successful scientific investigation. Poorly designed
experiments lead to the loss of information, which is costly and potentially unethical …

Optimal Design for Nonlinear Response Models discusses the theory and applications of
model-based experimental design with a strong emphasis on biopharmaceutical studies …

Nonlinear mixed effect models (NLMEM) with multiple responses are increasingly used in
pharmacometrics, one of the main examples being the joint analysis of the pharmacokinetics …

Anticancer agents often have a narrow therapeutic index (TI), requiring precise dosing to
ensure sufficient exposure for clinical activity while minimizing toxicity. These agents …

Abstract Background and Objective Nonlinear mixed-effect models (NLMEMs) are
increasingly used for the analysis of longitudinal studies during drug development. When …

Efficient power calculation methods have previously been suggested for Wald test-based
inference in mixed-effects models but the only available alternative for Likelihood ratio test …

In this work, we develop a bioequivalence analysis using nonlinear mixed effects models
(NLMEM) that mimics the standard noncompartmental analysis (NCA). We estimate NLMEM …

Metaheuristics is a powerful optimization tool that is increasingly used across disciplines to
tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a …

Abstract Analysis of longitudinal ordered categorical efficacy or safety data in clinical trials
using mixed models is increasingly performed. However, algorithms available for maximum …

Background: Fibromyalgia syndrome (FMS) is a chronic pain condition with widespread pain
and multiple comorbidities, for which conventional therapies offer limited benefits. The …