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

The saemix package for R provides maximum likelihood estimates of parameters in
nonlinear mixed effect models, using a modern and efficient estimation algorithm, the …

Aims The objectives of this study were to develop a population pharmacokinetic (PopPK)
model for tacrolimus in paediatric liver transplant patients and determine optimal sampling …

Aim Ethnicity plays a modulating role in atorvastatin pharmacokinetics (PK), with Asian
patients reported to have higher exposure compared with Caucasians. Therefore, it is …

Background Models of hepatitis C virus (HCV) kinetics are increasingly used to estimate and
to compare in vivo drug's antiviral effectiveness of new potent anti-HCV agents. Viral kinetic …

The standard errors (SE) of the maximum likelihood estimates (MLE) of the population
parameter vector in nonlinear mixed effect models (NLMEM) are usually estimated using the …

In traditional pharmacokinetic (PK) bioequivalence analysis, two one-sided tests (TOST) are
conducted on the area under the concentration-time curve and the maximal concentration …

Clinical studies include occurrences of rare variables, like genotypes, which due to their
frequency and strength render their effects difficult to estimate from a dataset. Variables that …

This article evaluates the performance of pharmacokinetic (PK) equivalence testing between
two formulations of a drug through the Two-One Sided Tests (TOST) by a model-based …

Genetic data is now collected in many clinical trials, especially in population
pharmacokinetic studies. There is no consensus on methods to test the association between …