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Georgetown University


Detailed Course Information


Fall 2017
Jan 16, 2018
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BIST 620 - Generalized Linear Model
The course will cover statistical methods for analyzing non normally distributed data such as proportion, count, and rate data using generalized linear models. The course will cover topics relating to estimation, inference, deviance, diagnosis using both the frequentist and Bayesian framework. The applications include two-way tables; multi-factor, multivariate-responses, variable selection, repeated measurement experiments. 

3.000 Credit hours
3.000 Lecture hours

Levels: MN or MC Graduate
Schedule Types: Lecture

Biostatistics & Epidemiology Department

Must be enrolled in one of the following Fields of Study (Major, Minor, Concentration, or Certificate):

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