Mathematical Modeling of Pharmacokinetic Data
Autor Steven Strauss, David W.A. Bourneen Limba Engleză Hardback – 8 oct 1995
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Specificații
ISBN-13: 9781566762045
ISBN-10: 1566762049
Pagini: 152
Ilustrații: 1
Dimensiuni: 156 x 234 x 17 mm
Greutate: 0.44 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1566762049
Pagini: 152
Ilustrații: 1
Dimensiuni: 156 x 234 x 17 mm
Greutate: 0.44 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
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Public țintă
ProfessionalCuprins
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.
Recenzii
"It is an explaining book, rather than an instruction manual, and it is well produced."
--Trends in Pharmacological Sciences
--Trends in Pharmacological Sciences
Descriere
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.