Introduction to Categorical Data Analysis (course)


  • 20 August - 21 August 2013
  • Royal Statistical Society, 12 Errol Street, EC1Y 8LX, London
  • Organiser: Royal Statistical Society
  • Event Details

Presented by Alan Agresti, University of Florida, with contributions by Maria Kateri, RWTH Aachen University (Please click here for interview with Prof. Agresti and his book Categorical Data Analysis)

This short course surveys the most common methods for analysing categorical data. The first day focuses on contingency table analysis, logistic regression modelling of binary data, and log-linear models. The second day introduces logistic models for multi-category ordinal and nominal responses for clustered data using GEE and random effects. The presentation emphasizes interpretation rather than technical details, with examples including randomized clinical trials and social surveys. Examples show the use of R and SAS, with references for STATA and SPSS procedures. The final two-hour block each day will be a practical session in which attendees can gain experience using the methods and ask questions.

Related Topics

Related Publications

Related Content

Site Footer


This website is provided by John Wiley & Sons Limited, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ (Company No: 00641132, VAT No: 376766987)

Published features on are checked for statistical accuracy by a panel from the European Network for Business and Industrial Statistics (ENBIS)   to whom Wiley and express their gratitude. This panel are: Ron Kenett, David Steinberg, Shirley Coleman, Irena Ograjenšek, Fabrizio Ruggeri, Rainer Göb, Philippe Castagliola, Xavier Tort-Martorell, Bart De Ketelaere, Antonio Pievatolo, Martina Vandebroek, Lance Mitchell, Gilbert Saporta, Helmut Waldl and Stelios Psarakis.