A short Course on Categorical Data Analysis by Alan Agresti

AUEB STATISTICS SEMINAR SERIES

SHORT COURSE

Alan Agresti 

Distinguished Professor Emeritus

Department of Statistics, University of Florida

A short Course on Categorical Data Analysis

The Department of Statistics and the MSc in Applied Statistics and Data Analytics at the Athens University of Economics and Business are pleased to announce a short course on “Categorical Data Analysis” delivered by Alan Agresti, Distinguished Emeritus Professor of Statistics at the University of Florida.

Priority will be given to postgraduate, undergraduate, and PhD students of the Department; however, the course is also open to students and faculty from other departments of AUEB and other universities.

The course is offered free of charge by the Department of Statistics, with full financial support from the MSc in Applied Statistics and Data Analytics. Registration is required (please register here).

When: 18-21 May 2026, 18.00-20.00

Location: Antoniadou Amphitheater

Registration: here.

Title of the Short Course: “Categorical Data Analysis” by Alan Agresti (Distinguished Professor Emeritus, Department of Statistics, University of Florida)

Abstract

This short course surveys the most common methods for analyzing categorical data. The first part of the course focuses on contingency table analysis, logistic regression for binary data, logistic model building, and loglinear models.  The second part introduces logistic models for multi-category ordinal and nominal responses and for clustered data using generalized estimating equations (GEE) and random effects.  The presentation emphasizes interpretation rather than technical details, with examples including social surveys and randomized clinical trials. Examples show the use of R, with SAS code also given for some examples.

Register here.