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Georgetown University

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Detailed Course Information

 

Fall 2017
Sep 20, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

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

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

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