HLTH 705Advanced Statistical Methods for Analyzing Public Health and Health Systems Data
- Units
- 0.50
- Level
- Graduate
- Faculty
- Health
- Subject
- Public Health Sciences
HLTH 705 as listed in the Spring 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course will focus on statistical methods for analyzing and drawing inferences from longitudinal data, time-to-event data and incomplete/missing data, with emphasis on their application for public health sciences. Topics include linear and generalized linear regression models (for correlated data), and imputation techniques for incomplete correlated and multilevel data. Students will learn appropriate methods to implement (particularly through the use of software) and interpret analyses of various types of complex public health data.
Prerequisites
- Must have completed the following:
- HLTH605
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Spring 2026
- Graduate Calendar, Spring 2026The archived entry
- Requirements for Spring 2026Waterloo’s requisite checker
- Schedule of Classes, Spring 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them