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Generalized Linear Models and Extensions

A second year course in advanced statistical techniques that covers useful quantitative tools in health & policy research.Assuming a strong foundation in regression & the general linear model, this course focuses on data analysis that utilizes models for categorical, discrete or limited outcomes that are commonly seen in health & policy studies.Examples include health status, number of clinic visits, etc.In this course students will also learn the principles of likelihood-based inference, which will assist them in some of the more advanced statistics courses.
Course #
APSTA-GE 2044
Units
2
Term
Spring
Department