Program Overview

Course Overview

The course STAT 438, Generalised Linear Models, is designed to introduce students to the theory and application of generalized linear models. The course covers a range of topics, including contingency tables, binary response models, log-linear models, repeated measures, and GEE analysis.

Course Details

• Course Code: STAT 438
• Duration: 18 weeks
• Start Date: 6 July 2026
• End Date: 8 November 2026
• Trimester: Trimester 2
• CRN: 8113
• Lecture Times:
  • Wednesday, 1:10 pm
  • Thursday, 1:10 pm
• Campus: Kelburn
• Fees:
  • Domestic students: NZ$1,355.25
  • International students: NZ$5,679.00
• Estimated Workload: Approximately 150 hours or 8.3 hours per week
• Points: 15

Entry Restrictions

• Prerequisites: One course from (STAT 332, STAT 393, STAT 394) or (one of (STAT 391, DATA 491) and one of (DATA 303, DATA 473))
• Corequisites: None
• Restrictions: None

Course Objectives

Students who pass this course should be able to:

1. Use R to fit many well-known generalized linear models.
2. Analyze categorical data using logistic regression, contingency tables, log-linear models, and ordinal
   ominal response models.
3. Understand the concept of repeated measurements and be able to use GEE methods to analyze data with repeated measurements.
4. Understand the maximum likelihood theory for generalized linear models.
5. Present a logical and comprehensive report of statistical analysis and results.

How the Course is Taught

• The course consists of two 50-minute lectures per week during the teaching period.

Assessment

• Assignments: 4 individual assignments (10% each), totaling 40%
• Tests: 2 individual tests (30% each), totaling 60%
• Mandatory Requirements: To pass the course, students must achieve an overall pass mark of at least 50% and show a reasonable attempt at assignments.

Additional Information

• Taught by: School of Mathematics and Statistics — Faculty of Science and Engineering
• Disclaimer: The course outline may be subject to change.
• Key Dates: Important dates, including mid-trimester teaching breaks, can be found on the University's key dates calendar.
• What You'll Need to Get: No specific texts or equipment are required for this course.