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We created the GraphPad library to help biologists (and other scientists) learn about data analysis. This "library" contains articles and manuals written by GraphPad, as well as links to web sites and books written by others. Please email us suggestions (or corrections) to improve this growing resource.
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Featured presentation:
Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate.
Read the full paper published in the peer-reviewed journal, BiomedCentral Bioinfomatics. This method is implemented in GraphPad Prism 5. |
Regression -- linear and nonlinear
[4 subtopics]
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Nonlinear regression is one of the most common analyses used by biological scientists, yet it is a topic ignored by most statistics text books. These resources will help you learn, and master, nonlinear curve fitting.
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