دانلود کتاب Mathematical Modeling of Pharmacokinetic Data

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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