Fitting Models to Biological Data Using Linear and Nonlinear Regression: A Pract

Description: Fitting Models to Biological Data Using Linear and Nonlinear Regression by Harvey Motulsky, Arthur Christopoulos 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 relavtively focused need of an extraordinarily broad range of scientists. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography Arthur Christopoulos is at University of Melbourne. Table of Contents Fitting data with nonlinear regression1: An example of nonlinear regression2: Preparing data for nonlinear regression3: Nonlinear regression choices4: The first five questions to ask about nonlinear regression results5: The results of nonlinear regression6: Troubleshooting "bad fits"Fitting data with linear regression7: Choosing linear regression8: Interpreting the results of linear regressionModels9: Introducing models10: Tips on choosing a model11: Global models12: Compartmental models and defining a model with a differential equationHow nonlinear regression works13: Modeling experimental error14: Unequal weighting of data points15: How nonlinear regression minimized the sum-of-squaresConfidence intervals of the parameters16: Asymptotic standard errors and confidence intervals17: Generating confidence intervals by Monte Carlo simulations18: Generating confidence intervals via model comparison19: comparing the three methods for creating confidence intervals20: Using simulations to understand confidence intervals and plan experimentsComparing models21: Approach to comparing models22: Comparing models using the extra sum-of-squares F test23: Comparing models using Akaikes Information Criterion24: How should you compare modes-AICe or F test?25: Examples of comparing the fit of two models to one data set26: Testing whether a parameter differs from a hypothetical valueHow does a treatment change the curve?27: Using global fitting to test a treatment effect in one experiment28: Using two-way ANOVA to compare curves29: Using a paired t test to test for a treatment effect in a series of matched experiments30: Using global fitting to test for a treatment effect in a series of matched experiments31: Using an unpaired t test to test for a treatment effect in a series of unmatched experiments32: Using global fitting to test for a treatment effect in a series of unmatched experimentsFitting radioligand and enzyme kinetics data33: The law of mass action34: Analyzing radioligand binding data35: Calculations with radioactivity36: Analyzing saturation radioligand binding data37: Analyzing competitive binding data38: Homologous competitive binding curves39: Analyzing kinetic binding data40: Analyzing enzyme kinetic dataFitting does-response curves41: Introduction to dose-response curves42: The operational model of agonist action43: Dose-response curves in the presence of antagonists44: Complex dose-response curvesFitting curves with GraphPad Prism45: Nonlinear regression with Prism46: Constraining and sharing parameters47: Prsims nonlinear regression dialog48: Classic nonlinear models built-in to Prism49: Importing equations and equation libraries50: Writing user-defined models in Prism51: Linear regression with Prism52: Reading unknowns from standard curves53: Graphing a family of theoretical curves54: Fitting curves without regression Promotional One of the very few places to learn about curve fitting. Long Description 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. Promotional "Headline" 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 Akaikes 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. Prsims 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 Details ISBN0195171802 Author Arthur Christopoulos Short Title FITTING MODELS TO BIOLOGICAL D Pages 352 Language English ISBN-10 0195171802 ISBN-13 9780195171808 Media Book Format Paperback Subtitle A Practical Guide to Curve Fitting Edition 1st Position Associate Professor, Psychiatric-Mental Health Nursing Imprint Oxford University Press Inc Place of Publication New York Country of Publication United States Affiliation Associate Professor, Ontario Institute for Studies in Education, University of Toronto DOI 10.1604/9780195171808 UK Release Date 2004-06-10 AU Release Date 2004-06-10 NZ Release Date 2004-06-10 US Release Date 2004-06-10 Edited by Robert Bowie Birth 1964 Death 1593 Qualifications Ph.D. Publisher Oxford University Press Inc Year 2004 Publication Date 2004-06-10 Alternative 9780195171792 DEWEY 519.536 Illustrations numerous line drawings Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:116597450;

Price: 108.14 AUD

Location: Melbourne

End Time: 2025-02-09T03:06:28.000Z

Shipping Cost: 11.41 AUD