STAT 458
Generalized Linear Models- Theory and Applications Fall 2022
Division III Quantative/Formal Reasoning

Class Details

This course will explore generalized linear models (GLMs)–the extension of linear models, discussed in Stat346, to response variables that have specific non-normal distributions, such as counts and proportions. We will consider the general structure and theory of GLMs and see their use in a range of applications. As time permits, we will also examine extensions of these models for clustered data such as mixed effects models and generalized estimating equations.
The Class: Format: lecture
Limit: 20
Expected: 10
Class#: 1491
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: Weekly homework consisting of theoretical exercises and data analyses carried out in R. Short frequent quizzes and one midterm (with an in-class and take-home component). Final project and final exam.
Prerequisites: STAT 346, or permission of instructor
Enrollment Preferences: Seniors and Statistics majors
Distributions: Division III Quantative/Formal Reasoning
QFR Notes: This is an intensive statistics course, involving theoretical and mathematical reasoning as well as the application of mathematical ideas to data using software.

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