BSTA 103
Population Health Data Science II
This course is a continuation of BSTA 101 . Topics include an overview of generalized linear models, simple and multiple linear regression, regression models for binary data, regression models for count data, quasi-likelihood methods, and extensions of generalized linear models. Must be taken with BSTA 104 . Prerequisites: BSTA 101 and BSTA 102 Corequisites: BSTA 104
Topics
- an overview of generalized linear models
- simple and multiple linear regression
- regression models for binary data
- regression models for count data
- quasi-likelihood methods
- and extensions of generalized linear models
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027