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Table of contents
Intro to regression
Nonlinear regression
Curve fitting with Prism


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Nonlin with Prism
Initial values
Fixing constants
Method options
Output options
Default options
Importing equations
Writing equations
Constraining
Two models in one
Simulate a curve
Interpreting the results
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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In April 2003, GraphPad released Prism 4 and published Fitting Models to Biological Data using Linear and Nonlinear Regression. This book includes all the information that comprises curvefit.com, and much more. You can read this book as a pdf file.

Fixing parameters to constant values

When performing nonlinear regression, you don't have to fit each parameter in the equation. Instead, you may fix one or more of the parameters to constant values.

It is often helpful to define constants when you have only a few data points. For example, you might fix the bottom plateau of a sigmoid curve or exponential decay to zero.

Remember that Prism has no "common sense". Prism does not know how you did the experiment. Unless you tell it, Prism doesn't know that a curve has to plateau at zero.

To set constants, click on the Constants button in the Nonlinear Regression Parameters dialog to bring up the Constants dialog. Check the "constant" box in front of the parameters you want to hold constant and enter their values. As a shortcut, you can enter the value first and Prism will automatically select the check box. You cannot enter different constant values for each data set. When you set a parameter to a constant value, you fix it to that value for every data set analyzed.

Method options with Prism


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