STAT574C
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STAT574C - Categorical Data Analysis
Course Description
Analysis of contingency tables. Generalized Linear Models including logistic regression and log-linear models. Matched-pair models. Repeated categorical responses. Students will be expected to utilize standard statistical software packages for computational purposes.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - STATD (Statistics and Data Science)
Cross Listed Courses
May be convened with
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Spring