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

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

by Harvey Motulsky, Arthur Christopoulos
     
 

View All Available Formats & Editions

ISBN-10: 0195171799

ISBN-13: 9780195171792

Pub. Date: 05/28/2004

Publisher: Oxford University Press, USA

Introductory statistics texts do not consider non-linear regression, and textbooks that do are advanced treatments for mathematicians. So pharmacological researchers Motulsky (U. of California-San Diego) and Christopoulos (U. of Melbourne) offer a hands-on practical introduction for biologists, leaving out all but the most elemental mathematics. The text is a

Overview

Introductory statistics texts do not consider non-linear regression, and textbooks that do are advanced treatments for mathematicians. So pharmacological researchers Motulsky (U. of California-San Diego) and Christopoulos (U. of Melbourne) offer a hands-on practical introduction for biologists, leaving out all but the most elemental mathematics. The text is a companion for the computer program GraphPad Prism (v.4), but they say most of it would apply to any similar program. Annotation © 2004 Book News, Inc., Portland, OR

Product Details

ISBN-13:
9780195171792
Publisher:
Oxford University Press, USA
Publication date:
05/28/2004
Pages:
352
Product dimensions:
9.60(w) x 6.80(h) x 0.80(d)

Table of Contents

A.Fitting data with nonlinear regression13
B.Fitting data with linear regression47
C.Models58
D.How nonlinear regression works80
E.Confidence intervals of the parameters97
F.Comparing models134
G.How does a treatment change the curve?160
H.Fitting radioligand and enzyme kinetics data187
I.Fitting dose-response curves256
J.Fitting curves with GraphPad Prism296

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >