Logistic regression was added with Prism 8.3.0. This section of the guide will provide you with information on how to interpret multiple logistic regression results generated by Prism.

Parameter Estimates

Odds ratios

P values

Model diagnostics

Multicollinearity in logistic regression

Classification

Pseudo R squared

Hypothesis tests

Interpreting Logistic ROC Curves

Analysis checklist: Multiple logistic regression

Error messages from logistic regression

 Perfect separation, Quasi-perfect separation, and Linear dependence

 Logistic models with no intercept

 A simple example of perfect separation