Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Practical Guide to Curve Fitting

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Oxford University Press, May 27, 2004 - Science - 352 pages
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Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
 

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Contents

Preface
12
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 kinetics data
187
I Fitting doseresponse curves
256
J Fitting curves with GraphPad Prism
296
Annotated bibliography
348
Index
350
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