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Mathematical Modeling of Pharmacokinetic Data

Download Mathematical Modeling of Pharmacokinetic Data written by David W.A. Bourne in PDF format. This book is under the category Mathematics and bearing the isbn/isbn13 number 1566762049/9781566762045. You may reffer the table below for additional details of the book.

$19.99

Specifications

book-author

David W.A. Bourne

publisher

Routledge

file-type

PDF

pages

147 pages

language

English

asin

B07CSWPKDQ

isbn10

1566762049

isbn13

9781566762045


Book Description

Mathematical Modeling of Pharmacokinetic Data (PDF) is a concise guide to mathematical modeling and analysis of pharmacokinetic data; this ebook contains valuable methods for maximizing the information obtained from given data. It is an ideal resource for scholars; scientists; and advanced students.

NOTE: This sale only includes the ebook Mathematical Modeling of Pharmacokinetic Data in PDF. No access codes included.

book-author

David W.A. Bourne

publisher

Routledge

file-type

PDF

pages

147 pages

language

English

asin

B07CSWPKDQ

isbn10

1566762049

isbn13

9781566762045

Table of contents


Table of contents :
Content: Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Chapter 1: Why Model the Data?
1.1 Condense the Data
1.2 Exploring Mechanisms
1.3 Making Predictions
Chapter 2: General Approach
2.1 General Method
2.2 Error in y Alone
2.3 Parameter Adjustments
Chapter 3: Pharmacokinetic Models
3.1 Compartmental Models
3.2 Physiologically Based Models
3.3 Pharmacodynamic Models
Chapter 4: Simulation of Data
4.1 Explicit Equations
4.2 Implicit Equations
4.3 Differential Equations
4.4 Integration Using Laplace Transforms 4.5 Numerical Integration of Differential EquationsChapter 5: Initial Estimates
5.1 Graphical Methods
5.2 Linear Regression
5.3 Curve Stripping
5.4 Area under the Curve Estimation
5.5 Deconvolution
Chapter 6: Nonlinear Regression
6.1 Grid Search Method
6.2 Steepest Descent Method
6.3 Gauss-Newton Methods
6.4 Simplex Method
6.5 Local Minima
Chapter 7: Weighting Schemes
7.1 Equal Weight
7.2 Variance Model
7.3 Iteratively Reweighted Least Squares
7.4 Extended Least Squares
7.5 Bayesian Methods
7.6 Analysis of Population Data
Chapter 8: Evaluation of Program Output 8.1 Tabular Output8.2 Graphical Output
8.3 Statistical Output
Chapter 9: Experimental Design
9.1 Pilot Study
9.2 Identifiability-Sampling Sites
9.3 Optimal Sampling-Sampling Times
9.4 Model Testing
Appendix
References
Index

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