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Table of contents
Intro to regression
Nonlinear regression
Curve fitting with Prism
Interpreting the results


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Questions
Are results sensible?
SE and CI
Goodness of fit
Systematic deviation
Local minimum
Assumptions
Common errors
Comparing two curves
Distributions of best-fit values
Radioligand binding
Saturation binding
Competitive binding
Kinetics of binding
Dose-response curves
Enzyme kinetics
Standard curves
More information
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Approach to interpreting nonlinear regression results

When evaluating the results of nonlinear regression, ask yourself:

Do the nonlinear regression results make sense?
How certain are the best-fit values?
How good is the fit?
Does the curve systematically deviate from the data?
Could the fit be a local minimum?
Have you violated an assumption of nonlinear regression?
Have you made a common error when using nonlinear regression?

You'll also want to interpret the data in the context of the experiment. For example, see the discussions on this web site for analyses of radioligand binding, enzyme kinetics or dose-response data.
                                                                                                                                                                         

Do the nonlinear regression results make sense?


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