Fitting models to biological data using linear and nonlinear regression :
General Material Designation
[Book]
Other Title Information
a practical guide to curve fitting /
First Statement of Responsibility
by Harvey Motulsky, Arthur Christopoulos.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York :
Name of Publisher, Distributor, etc.
Oxford University Press,
Date of Publication, Distribution, etc.
2004.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (351 pages) :
Other Physical Details
illustrations
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
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.
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SUMMARY OR ABSTRACT
Text of Note
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.
OTHER EDITION IN ANOTHER MEDIUM
Title
Fitting models to biological data using linear and nonlinear regression.