BST 570 - Generalized Linear Models

Description
The objective of this course is to introduce students to generalized linear regression models (theoretical properties, model interpretation and application). Topics include: 1) Review of categorical data and related sampling distributions; 2) Two/Three-way contingency tables; 3) logistic regression and poission regression; 4) loglinear models for contingency tables ; 5) generalized linear mixed models for categorical responses; 6) principles of MLE in generalized linear model.
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Recent Semesters
Spring 2018
Offered
F
Avg. Class Size
30
Avg. Sections
1