Chapter 25

Non-Linear Regression Analysis of Pharmacokinetic Data
Individual Data and Population Analysis

return to the Course index
previous | next

Student Objectives for this Chapter

Figure 25.1.1 Diagram Illustrating Data Analysis Paradigms

With no patient data but patient information no data analysis is required. Dosing calculations are based on nomograms, package inserts or other published information. If a few data points are available from a single patient and population parameter values for the drug of interest it may be possible to perform a Bayesian analysis. This analysis method can combine these two pieces of data. If only a few data points are available for each subject but data are available for many subjects a population analysis may be possible. This can also provide population parameter values with measures of the uncertainty in these values. More data in one subject allows 'traditional' non-linear regression analysis using graphical methods or a computer program. With more data from multiple subjects a population analysis is again very useful. Alternately a two step approach of analyzing each subject's data separately using non-linear regression analysis and combining these results may be applied. A third approach might be to combine the data from multiple subjects in a naive pool analysis.

return to the Course index

This page was last modified: Tuesday, 26th Jul 2022 at 8:21 pm

Privacy Statement - 25 May 2018

iBook and pdf versions of this material and other PK material is available

Copyright © 2001-2022 David W. A. Bourne (