LAST UPDATE: 12 Nov.  2018 at 10:30.

Time & Location: Mon., Wed., & Fri., 13:00-13:50 in Keck 105

Required Texts:  Categorical Data Analysis, 3rd edition, by Alan Agresti; ISBN 978-0470463635

Instructor: Dennis D. Cox

Description: The course is devoted to the theory and methodology of categorical data analysis with an introduction to Generalized Linear Models. There will be analyses of real data sets using R. We plan to cover Chapters 1-11 and 16 of the text, time permitting.

Prerequisites: Stat 410 or 615, and 518-519, or permission of Instructor.


Dennis Cox
Office: 2095 Duncan Hall (DH)
phone: 6007 (longphone: 713-348-6007)
Office Hours:
   Monday 14:00-15:00,
   Tuesday 13:00-14:00,
   and by appointment.

Mingrui Liang (TA - grader)
office: DH2090.
Office hours: By Appointment.

 50% Homework: Approximately weekly homeworks of about 5 problems.
 30% Midterm: One hour in class exam,  Fri. Nov. 9.
 20% Term Project: due Wed. Dec. 12; the project proposal is now due Fri. Oct. 26.

  1. Website for the book (Contains solutions, software, datasets, corrections, etc.)
  2. Homeworks
  3. Handout (PDF) on the multinomial distribution to be discussed in class on Aug. 22
  4. Analysis of Hair-Eye Color Contingency Table
  5. ACE Analysis of Hair-Eye Color Table treating both variables as nominal.
  6. Handout on goodness of fit tests for logistic regression
  7. Project on logistic regression residuals
  8. Some suggestions for term projects
  9. Study guide for exam
  10. Exam from 2017.
  11. Exam from 2016 and Solutions.
  12. An analysis of the happiness data
  13. An example of a log-linear model fitting
  14. Exam

Any student with a disability requiring accommodations in this course is encouraged to contact Dr. Cox after class or during office hours. Additionally, students should contact Disability Support Services in the Ley Student Center.

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