Probit Analysis
By: Kim Vincent
Quick Overview
• Probit analysis is a type of regression used to analyze binomial response variables.
• It transforms the sigmoid dose-response curve to a straight line that can then be analyzed
by regression either through least squares or maximum likelihood.
• Probit analysis can be conducted by one of three techniques:
o Using tables to estimate the probits and fitting the relationship by eye,
o Hand calculating the probits, regression coefficient, and confidence intervals, or
o Having a stastitical package such as SPSS do it all for you.