Simon Fraser University
Engaging the World

Course Outlines

Spring 2026 - STAT 675 G100

Applied Discrete Data Analysis (3)

Class Number: 4617

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 5 – Apr 10, 2026: Tue, 12:30–2:20 p.m.
    Burnaby

    Jan 5 – Apr 10, 2026: Fri, 12:30–1:20 p.m.
    Burnaby

  • Prerequisites:

    STAT 302 or STAT 305 or STAT 350 or STAT 604 or STAT 605 or ECON 333 or permission of instructor. Open only to graduate students in departments other than Statistics and Actuarial Science.

Description

CALENDAR DESCRIPTION:

Introduction to standard methodology for analyzing categorical data including chi-squared tests for two- and multi-way contingency tables, logistic regression, and loglinear (Poisson) regression. Students with credit for STAT 402 or 602 may not take this course for further credit.

COURSE DETAILS:

Course Outline:

This course introduces students to the most important methods for analyzing categorical data. The focus of the course is twofold: classical methods in categorical data analysis, such as chi-squared tests, and logistic and loglinear (Poisson) regression techniques.

  1. Introduction and review: likelihood methods and R
  2. Analysis with binary variables 
  3. Analysis with multicategory variables 
  4. Analysis with count response 
  5. Model selection and evaluation
  6. Further topics

Grading

  • Homework Assignments 10%
  • Midterms 50%
  • Final Exam 40%

NOTES:

Graduate students in STAT 675 will be graded separately from students in STAT 475 using standards appropriate to graduate level course work.

Above grading is subject to change.

Materials

REQUIRED READING:

Required Text:

Analysis of Categorical Data with R., 2nd edition by: Christopher R. Bilder and Thomas M. Loughin. Publisher: CRC Press

Book is available through the SFU Bookstore


REQUIRED READING NOTES:

Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.

To learn more about the academic disciplinary process and relevant academic supports, visit: 


RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.