curvefit.com. Guide to nonlinear regression.Try our software free for 30 days.StatMate leads you step by step through power and sample size calculations.InStat is a less cumbersome alternative to typical heavy-duty statistical programs. With InStat, even a statistical novice can analyze data in just a few minutes.Prism is a powerful combination of basic biostatistics, curve fitting and scientific graphing in one comprehensive program.GraphPad Software. Data analysis and biostatistics resources.


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Table of contents
Intro to regression
Nonlinear regression
Curve fitting with Prism
Interpreting the results
Comparing two curves
Distributions of best-fit values
Radioligand binding
Saturation binding
Competitive binding

Kinetics of binding

Dose-response curves


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Introduction
How to fit
logEC50 or EC50?
EC80 etc.
Analysis checklist
Operational model
Schild
Enzyme kinetics
Standard curves
More information
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curvefit.com was created by GraphPad Software, Inc. Send comments or questions to the author of these pages, Dr. Harvey Motulsky, president of GraphPad Software.

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.

Checklist. Interpreting a dose-response curve.

After fitting a dose-response model to your data, ask yourself these questions:

Question Comment
Is the logEC50 reasonable? The EC50 should be near the middle of the curve, with at least several data points on either side of it.
Are the standard errors too large? Are the confidence intervals too wide. The SE of the logEC50 should be less than 0.5 log unit (ideally a lot less).
Is the value of BOTTOM reasonable? BOTTOM should be near the response you observed with zero drug. If the best-fit value of BOTTOM is negative, consider fixing it to a constant value equal to baseline response. If you know where the bottom of the curve should be, then set BOTTOM to that constant value.
Is the value of TOP reasonable? TOP should be near the response you observed with maximal concentration drug. If the best-fit value of TOP is not reasonable, consider fixing it to a constant value. If you know where the top of the curve should be, then set TOP that constant value.
If you used a variable slope model, are there enough data to define the slope? If you asked Prism to find a best-fit value for slope, make sure there at least a few data points between 10 and 90% . If not, your data don't accurately define the slope factor. Consider fixing the slope to its standard value of 1.0
If you used a model with a standard slope, does the data appear to be steeper or shallower? If the data appear to form a curve much steeper or shallower than the standard dose-response curve, consider fitting to a model with a variable slope.
Does the curve appear to be biphasic? The standard dose-response models assume that the curve is monotonic. If the curve goes up, and then down, you'll need a more complicated model (beyond the scope of this manual).

The operational model of agonist action


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