Official Description: This course is a part of the Biostatistics Graduate Core Sequence and is also recommended as an elective course for the Graduate Program in Statistics. It serves as a prerequisite for BST/STA 224, which is offered in Spring quarters. General- ized Linear Models and related methods for regression and classification have become a central tool for Biostatistics and are also widely applied in other statistical areas. The course is a mixture of theory and applications and includes Statistical Laboratory ses- sions featuring various computing tools for the implementation of Generalized Linear Models and related methods.

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Instructors: David M. Rocke

Other info and comments: Previously taught by Jie Peng

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