A Graphical Method for Assessing the Fit of a Logistic Regression Model

Iain Pardoe and R. Dennis Cook


Before a logistic regression model is used to describe the relationship between a binary response variable and predictors, the fit of the model should be assessed. The nature of any model deficiency may indicate that some aspect of the model should be reformulated or that poorly fitting observations need to be considered separately. We propose graphical methodology based on a Bayesian framework to address issues such as this. Publicly available software allows diagnostic plots to be constructed quickly and easily for any model of interest. These plots are more intuitive and meaningful than traditional graphical diagnostics such as residual plots.

Back to Research page.

Send me e-mail at ipardoe at lcbmail.uoregon.edu

Last updated: April 11, 2002

The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the University of Oregon.

© 2002, Iain Pardoe, Lundquist College of Business, University of Oregon

Valid XHTML 1.0! Valid CSS!