Guided examples: Nonlinear regression

Getting started with nonlinear regression

The best way to learn nonlinear regression is to follow examples.

The Prism tour includes nonlinear regression (exponential decay). Following that example will help you learn how Prism does nonlinear regression.

Mastering nonlinear regression

The examples listed below teach you how to think about nonlinear regression, as well as how to use Prism. All the examples use sample data built-in to the program, so you can easily perform the analyses yourself without any tedious data entry.

Fitting an enzyme kinetics curve

Comparing two enzyme kinetics models

Interpolating from a sigmoidal standard curve

Automatic outlier elimination (exponential decay)

Global nonlinear regression (two dose-response curves)

Dependency and ambiguous fits (dose-response curves)

Detailed help to fit built-in equations

Prism comes with dozens of built-in equations to use in nonlinear regression (of course you can also add your own equations). For each of the built-in equations, we provide a detailed description with step-by-step instructions. Here are a few examples:

Equation: log(agonist) vs. response -- Variable slope

Equation: log(inhibitor) vs. normalized response

Equation: One phase exponential decay

Equation: Competitive binding - One site - Fit Ki

Equation: Receptor binding - Dissociation kinetics

Equation: Mixed-model enzyme inhibition

Equation: Gaddum/Schild EC50 shift