Analysis of pharmacokinetic data using parametric models. II. Point estimates of an individual's parameters

TLDR: This is the second in a series of tutorial articles discussing the analysis of pharmacokinetic data using parametric models, and primary emphasis is placed on point estimates of the parameters of the structural (pharmacokinetic) model.

Abstract: This is the second in a series of tutorial articles discussing the analysis of pharmacokinetic data using parametric models. In this article the basic issue is how to estimate the parameters of such models. Primary emphasis is placed on point estimates of the parameters of the structural (pharmacokinetic) model. All the estimation methods discussed are least squares (LS) methods: ordinary least squares, weighted least squares, iteratively reweighted least squares, and extended least squares. The choice of LS method depends on the variance model. Some discussion is also provided of computer methods used to find the LS estimates, identifiability, and robust LS-based estimation methods.