Mathematical Modeling of Pharmacokinetic Data

A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book covers methods for maximizing the information obtained from given data. It presents a systematic approach to using the mathematical software tools available so that the investigator may extract the maximum information from a given set of data. The author discusses the rationale for mathematical modeling and presents a brief review of pharmacokinetic models to provide a common framework for the following chapters. It describes questions of experimental design and covers topics such as pilot study considerations, identifiability of parameter values, and optimal sampling time selection.