Population pharmacokinetic (pop-PK) models constructed for model-informed precision
dosing often have limited utility due to the low number of patients recruited. To augment …

One major task in clinical pharmacology is to determine the pharmacokinetic-
pharmacodynamic (PK-PD) parameters of a drug in a patient population. NONMEM is a …

Population pharmacokinetic (PK) modeling is a widely used approach to analyze PK data
obtained from groups of individuals, in both industry and academic research. The approach …

A method to apply pharmacokinetic models to assist physicians in therapeutic drug
monitoring is proposed. The practice of therapeutic drug monitoring is required for drugs …

Physiologically‐based pharmacokinetic (PBPK) models usually include a large number of
parameters whose values are obtained using in vitro to in vivo extrapolation. However, such …

Currently employed methods for qualifying population physiologically-based
pharmacokinetic (Pop-PBPK) model predictions of continuous outcomes (eg, concentration …

Using pharmacokinetic (PK) models and Bayesian methods in dosing software facilitates the
analysis of individual PK data and precision dosing. Several Bayesian methods are …

The posterior predictive check (PPC) is a model evaluation tool. It assigns a value (p PPC) to
the probability that the value of a given statistic computed from data arising under an …

Population modeling seeks to evaluate the contributions of interindividual and
intraindividual variability, based on the raw subject data and the assay error, and to describe …

Comparisons between observed data and model simulations represent a critical component
for establishing confidence in population physiologically-based pharmacokinetic (Pop …