Fitting models to biological data using linear and nonlinear regression :
[Book]
a practical guide to curve fitting /
by Harvey Motulsky, Arthur Christopoulos.
New York :
Oxford University Press,
2004.
1 online resource (351 pages) :
illustrations
Includes bibliographical references and index.
Contents; Preface; A. Fitting data with nonlinear regression; B. Fitting data with linear regression; C. Models; D. How nonlinear regression works; E. Confidence intervals of the parameters; F. Comparing models; G. How does a treatment change the curve?; H. Fitting radioligand and enzyme kinetics data; I. Fitting dose-response curves; J. Fitting curves with GraphPad Prism; Annotated bibliography; Index.
0
Fitting data with nonlinear regression. 1. An example of nonlinear regression. 2. Preparing data for nonlinear regression. 3. Nonlinear regression choices. 4. The first five questions to ask about nonlinear regression results. 5. The results of nonlinear regression. 6. Troubleshooting "bad fits". Fitting data with linear regression. 7. Choosing linear regression. 8. Interpreting the results of linear regression. Models. 9. Introducing models. 10. Tips on choosing a model. 11. Global models. 12. Compartmental models and defining a model with a differential equation. How nonlinear regr.
Fitting models to biological data using linear and nonlinear regression.