Steven Strauss, David W. A. Bourne

Mathematical Modeling of Pharmacokinetic Data (eBook, ePUB)

• Format: ePub

Produktbeschreibung

A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book contains valuable methods for maximizing the information obtained from given data. It is an ideal resource for scientists, scholars, and advanced students.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 152
• Erscheinungstermin: 2. Mai 2018
• Englisch
• ISBN-13: 9781351433242
• Artikelnr.: 56841621

Autorenporträt

Bourne, DavidW.A.

Inhaltsangabe

Why Model the Data? Condense the Data. Exploring Mechanisms. Making
Predictions. General Approach. General Method Error in y Alone. Parameter
Adjustments. Pharmacokinetic Models. Compartmental Models. Physiologically
Based Models. Pharmacodynamic Models. Simulation of Data. Explicit
Equations. Implicit Equations. Differential Equations. Integration Using
Laplace Transforms. Numerical Integration of Differential Equations.
Initial Estimates. Graphical Methods. Linear Regression. Curve Stripping.
Area under the Curve Estimation. Deconvolution. Non-Linear Regression. Grid
Search Method. Steepest Descent Method. Gauss-Newton Methods. Simplex
Method. Local Minima. Weighting Schemes. Equal Weight. Variance Model.
Iteratively Reweighted Least Squares. Extended Least Squares. Bayesian
Methods. Analysis of Population Data. Evaluation of Program Output. Tabular
Output. Graphical Output. Statistical Output. Experimental Design. Pilot
Study. Identifiability-Sampling Sites. Optimal Sampling-Sampling Times.
Model Testing. Appendix. References. Index.