LAST UPDATE: 20 Nov  2017 at 15:45.

Time & Location: Mon., Wed., & Fri., 13:00-13:50 in Keck 101

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:
   Wednesday 11:00-12:00
   Thursday 13:00-14:00
   and by appointment.

Chunshan Liu (TA - grader)
office: TBA.
Office hours: TBA.

 50% Homework: Approximately weekly homeworks of about 5 problems.
 30% Midterm: One hour in class exam,  Fri. Nov. 17.
 20% Term Project: due Wed. Dec. 14; the project proposal is due Fri. Oct. 20.

  1. Website for the book (Contains solutions, software, datasets, corrections, etc.)
  2. Homeworks
  3. Lesson: An example of overdispersion. The original paper is here.
  4. Lesson on the Multinomial Distribution
  5. Notes On Asymptotic Tests
  6. Analysis of Hair-Eye Color Contingency Table
  7. ACE Analysis of Hair-Eye Color Table treating both variables as nominal.
  8. Goodness of fit testing for logistic regression
  9. Final Exam from 2016 and Solutions. You should try the exam before looking at the solutions.
  10. Final Exam (Takehome: 90 minutes)
  11. Example of a log-linear analysis of a 4-way table

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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