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Exploratory Data Analysis HSCI 410 (3)
Regression and data analysis techniques for health research. Practical approaches to linear and logistic regression, multivariable modelling, interaction, variable selection, confounding, and measures of association. Computer-based laboratory exercises using statistical software applied to health datasets. Prerequisite: STAT 302 or STAT 305, with a minimum grade of C-. Recommended: HSCI 230.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
| D100 |
Joao Luiz Dornelles Bastos |
Sep 4 – Oct 11, 2024: Tue, 8:30–11:20 a.m.
Oct 16 – Dec 3, 2024: Tue, 8:30–11:20 a.m. |
Burnaby Burnaby |