Generalized Linear Models and Categorical Data
Logistic, Poisson and other generalized linear models for binary, count and categorical outcomes.
STAT-341 Year 3 3 credits 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Statistics
Course content
- 1Categorical data and contingency tablesComing
- 2Measures of associationComing
- 3The exponential familyComing
- 4The generalized linear modelComing
- 5Logistic regressionComing
- 6Inference and devianceComing
- 7Model checking for GLMsComing
- 8Poisson regression and offsetsComing
- 9Overdispersion and negative binomial modelsComing
- 10Multinomial and ordinal modelsComing
- 11Log-linear modelsComing
- 12Capstone: a GLM analysis of health dataComing
Requirements
Recommended background. You can start any course at any time.
Description
Logistic, Poisson and other generalized linear models for binary, count and categorical outcomes.
Part of the Science stream, typically taken in year 3.