NURS 9788 Applied Health Statistics: Generalized Linear Modeling
This course focuses on conceptual understanding and application of generalized linear modeling to health-related research questions and real-world health data. Students will develop skills in the performance and interpretation of techniques such as multivariate linear, logistic, gamma and negative binomial regression. This course also will cover common functions within generalized linear modeling such as tests of interaction, moderator and mediator, as well as multilevel modeling, handling of complex sampling designs and common approaches to model selection. Applying health statistics as part of a logical argument is emphasized in this course as opposed to detailed knowledge of the underlying mathematics.
Course overview
- Department
- Nursing
- School
- CSON
- Credits
- 3
- Level
- Graduate
- Offered
- Every Spring, Every Fall
Catalog details
- Prerequisites
- Intermediate Statistics
Course evaluations
- Course rating
- 4.78 / 5 · Excellent
- Instructor rating
- 4.91 / 5 · Excellent
- Terms evaluated
- 4
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Christopher Lee | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 7–9 hrs/week | 4 of 4 |
| Fall 2024 | Christopher Lee | 5.0 | 5.0 | 5.0 | 5.0 | 4.8 | 5.0 | 5.0 | 5.0 | — | 5 of 6 |
| Fall 2023 | Christopher Lee | 4.6 | 4.9 | 4.9 | 4.9 | 4.8 | 4.9 | 4.9 | 4.8 | 7–9 hrs/week | 8 of 11 |
| Spring 2022 | Christopher Lee | 4.6 | 4.8 | 5.0 | 5.0 | 4.8 | 5.0 | 4.8 | 4.6 | 7–9 hrs/week | 5 of 7 |