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Fitting Models To Biological Data Using Linear And Nonlinear Regression.pdf

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Fitting Models To Biological Data Using Linear And Nonlinear Regression.pdf

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Fitting Models To Biological Data Using Linear And Nonlinear Regression.pdf

文档介绍

文档介绍:Version
Fitting Models
to Biological Data
using Linear and
Nonlinear
Regression
A practical guide to
curve fitting
Harvey Motulsky &
Arthur Christopoulos
Copyright  2003 GraphPad Software, Inc. All rights reserved.
GraphPad Prism and Prism are registered trademarks of GraphPad Software, Inc.
GraphPad is a trademark of GraphPad Software, Inc.

Citation: . Motulsky and A Christopoulos, Fitting models to biological data using
linear and nonlinear regression. A practical guide to curve fitting. 2003, GraphPad
Software Inc., San Diego CA, .
Second printing, with minor corrections.


To contact GraphPad Software, email support@ or ******@.
Contents at a Glance
A. Fitting data with nonlinear regression.................................... 13
B. Fitting data with linear regression..........................................47
C. Models ....................................................................................58
D. How nonlinear regression works........................................... 80
E. Confidence intervals of the parameters ..................................97
F. Comparing models................................................................ 134
G. How does a treatment change the curve?..............................160
H. Fitting radioligand and enzyme ics data ....................... 187
I. Fitting dose-response curves .................................................256
J. Fitting curves with GraphPad Prism......................................296

3
Contents
Preface ........................................................................................................12
A. Fitting data with nonlinear regression.................................... 13
1. An example of nonlinear regression ......................................................13
Example data .........................................................................................................................