# Chapter 22

# Non-Linear Regression Analysis of Pharmacokinetic Data

Individual Data and Population Analysis

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### Student Objectives for this Chapter

- Understand the use of computer programs such as Boomer for non-linear regression analysis of pharmacokinetic data
- Consider Bayesian analysis of clinical data
- Understand the use of computer programs such as NONMEM for non-linear regression analysis of population pharmacokinetic data

**Figure 22.1.1 Diagram Illustrating Data Analysis Paradigms**

With no patient data but patient information no data analysis is required. Dosing calculation 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.

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