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

Motulsky, Harvey

Brossura

ISBN 10: 0195171802 ISBN 13: 9780195171808

Casa editrice: Oxford University Press, U.S.A., 2004

Riassunto

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. The book will likely be purchased by a high proportion of biological laboratories, for frequent reference. The author gets about 3000 visits per month to his curvefit website, with the average visitor viewing 9 pages.

Su questo libro

L'autore

Arthur Christopoulos is at University of Melbourne.

Contenuti

• 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 regression works
• 13: Modeling experimental error
• 14: Unequal weighting of data points
• 15: How nonlinear regression minimized the sum-of-squares
• Confidence intervals of the parameters
• 16: Asymptotic standard errors and confidence intervals
• 17: Generating confidence intervals by Monte Carlo simulations
• 18: Generating confidence intervals via model comparison
• 19: comparing the three methods for creating confidence intervals
• 20: Using simulations to understand confidence intervals and plan experiments
• Comparing models
• 21: Approach to comparing models
• 22: Comparing models using the extra sum-of-squares F test
• 23: Comparing models using Akaike's Information Criterion
• 24: How should you compare modes-AICe or F test?
• 25: Examples of comparing the fit of two models to one data set
• 26: Testing whether a parameter differs from a hypothetical value
• How does a treatment change the curve?
• 27: Using global fitting to test a treatment effect in one experiment
• 28: Using two-way ANOVA to compare curves
• 29: Using a paired t test to test for a treatment effect in a series of matched experiments
• 30: Using global fitting to test for a treatment effect in a series of matched experiments
• 31: Using an unpaired t test to test for a treatment effect in a series of unmatched experiments
• 32: Using global fitting to test for a treatment effect in a series of unmatched experiments
• Fitting radioligand and enzyme kinetics data
• 33: The law of mass action
• 34: Analyzing radioligand binding data
• 35: Calculations with radioactivity
• 36: Analyzing saturation radioligand binding data
• 37: Analyzing competitive binding data
• 38: Homologous competitive binding curves
• 39: Analyzing kinetic binding data
• 40: Analyzing enzyme kinetic data
• Fitting does-response curves
• 41: Introduction to dose-response curves
• 42: The operational model of agonist action
• 43: Dose-response curves in the presence of antagonists
• 44: Complex dose-response curves
• Fitting curves with GraphPad Prism
• 45: Nonlinear regression with Prism
• 46: Constraining and sharing parameters
• 47: Prsim's nonlinear regression dialog
• 48: Classic nonlinear models built-in to Prism
• 49: Importing equations and equation libraries
• 50: Writing user-defined models in Prism
• 51: Linear regression with Prism
• 52: Reading unknowns from standard curves
• 53: Graphing a family of theoretical curves
• 54: Fitting curves without regression

Dettagli dell?edizione

• Editore: Oxford University Press, U.S.A.
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 0195171802
• ISBN 13: 9780195171808
• Rilegatura: Copertina flessibile
• Numero di pagine: 356
• Contatto del produttore: non disponibile
• Persona responsabile: Ufficio Anagrafiche Messaggerie; ufficio.anagrafiche@meli.it; ; Via Verdi, 8.; Assago Milano; 20090; Italia