BIOS 642. Health Data: Statistical Learning and Model Visualization
Credits: 3
Offered by: Epidemiology and Biostatistics (Graduate Studies)
Terms offered: Winter 2026
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Description
Basic principles of regression analyses applicable to the health sciences, covering regression (linear and generalized linear models) and inference for regression parameters; confounding, effect modification, and collinearity; model selection; prediction; and visual representations of model output, covariate-response relationships, and prediction curves.
- Prerequisites: BIOS 641
- Due to the scheduling of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is January 16, withdrawal with refund is January 23, web withdrawal with NO refund is February 6.