This article represents the first in a series of tutorials on model evaluation in nonlinear mixed
effect models (NLMEMs), from the International Society of Pharmacometrics (ISoP) Model …

Taking parameter uncertainty into account is key to make drug development decisions such
as testing whether trial endpoints meet defined criteria. Currently used methods for …

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects
Models Mixed Effects Models for the Population Approach: Models, Tasks, Methods and …

Supporting decision making in drug development is a key purpose of pharmacometric
models. Pharmacokinetic models predict exposures under alternative posologies or in …

Isavuconazole is a triazole antifungal agent recently recommended as first-line therapy for
invasive pulmonary aspergillosis. With the COVID-19 pandemic, cases of COVID-19 …

Background Emicizumab (ACE910) is a bispecific antibody mimicking the cofactor function
of activated coagulation factor VIII. In phase I–I/II studies, emicizumab reduced the bleeding …

Background The pharmacokinetic properties of the new benzodiazepine remimazolam have
been studied only in adults. We investigated the pharmacokinetics of remimazolam after iv …

Abstract Information on the pharmacokinetics (PK) and pharmacodynamics (PD) of orally
administered cannabis‐based medicine (CBM) in capsule formulation in patient populations …

In quantum mechanics, when an electron is quickly ripped off from a molecule, a
superposition of new eigenstates of the cation creates an electron wave packet that governs …

Objectives This study aimed to quantitatively evaluate placebo effect and drug efficacy
characteristics and identify associated factors that affect quantitative myasthenia gravis (MG) …