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Fitting models to biological data using linear and nonlinear regression. Nonlinear regression is an essential tool to analyze biological data, and is used by many labs more than any other data analysis technique. This book, written by Harvey Motulsky (GraphPad) and Arthur Christopoulos (Univ. Melbourne), is for biologists, not mathematical statisticians, and presents a practical approach to fitting curves with nonlinear regression. It explains how to choose a model, make sensible choices when using a nonlinear regression program, and how to interpret the results.
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