7.2 - Diagnosing Logistic Regression Models

Printer-friendly versionPrinter-friendly version

Just like a linear regression, once a logistic (or any other generalized linear) model is fitted to the data it is essential to check that the assumed model is actually a valid model. A thorough examination of the extent to which the fitted model provides an appropriate description of the observed data, is a vital aspect of the modelling process.

Key Concepts

  • Model Diagnostics
  • Overdispersion
  • Receiver Operating Characteristic Curves (ROC) & Classification Tables

Objectives

  • Understand the need for evaluating residuals and become familiar with other logistic regression model diagnostic tools

Useful Links