STAT 426: Sampling and Categorical Data (Spring 08)


Instructor: Xuming He
Time and Location: 9:00 - 10:20 TuTh, Location 317 Gregory Hall
Text: An Introduction to Categorical Data Analysis, by Alan Agresti (Wiley)
Prerequisite: STAT 410
Office Hours: 2-3 pm Wed with TA; or email the instructor for an appointment at other times.
Teaching Assistant: Yu-Hui (Kate) Hsu (email: yhsu6@uiuc.edu)



This graduate level course covers the essentials for statistical analysis of categorical data. The focus will be on models (from simple Binomial models to generalized linear models for categorical or ordinal variables), methods, and applications.

Brief introductions to sampling will be given as a second topic, but the students should not expect the course to be a complete introduction to sampling.

If you wish to learn how to use SAS, you may consult "The Little SAS Book, A Primer, Third Edition" by Delwiche and Slaughter. The online SAS manu is another place for quick help.

If you have any questions about the course, please contact the instructor.

  • General information on grading
  • Go to Illinois Compass to check grades
  • Homework Assignments #1-6 and Homework Assignments #7-9 , and Homework Assignment #10 , Homework Assignment #11 .
  • Solutions to HW5 , Solutions to HW6 , Solutions to HW7 , Solutions to HW8 , Solutions to HW9 , Solutions to HW10 .
  • Work for Bonus Points
  • Your questions answered here

  • Past Exam
  • Seizure Data , and accompanied notes
  • Exam 3 (take-home)
  • Sample SAS code for the coffee drinking example in class
  • SAS codes used in the tutorual (2/5/08)
  • Example on cumultative logit model (3/11/08)
  • About PROC GLIMMIX (You can use this procedure in the computer lab Room 113 Illini Hall, but you must use this template in SAS prior to running your own code.)
  • Online SAS Documentation


    Xuming He (x-he@uiuc.edu)
    Department of Statistics, University of Illinois
    101 Illini Hall, 725 S. Wright St.
    Champaign, IL 61820
    Ph: 217-333-4792
    Fax: 217-244-7190