Linear regression and logistic regression can be used analyze multivariable relationships; however, they require data follow a particular structure and that certain assumptions be met. Building upon the the content from STA 210, this course will cover the broader class of generalized linear models, focusing on models for non-normal response variables. Students will also be introduced to multi-level models, and extension of generalized linear models used to analyze data with correlated observations. Focus will be on model fitting and interpretation. Applications will come from a variety of fields. R will be used for computing.
Prerequisites: STA 210 and one of STA 230/STA 231/STA 240