PSYC60633
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Generalized Linear Models
Department(s)
Long Description (Catalog Description)
Prerequisites: Graduate standing in psychology or permission of instructor. A general introduction to generalized linear models. Typical topics include distributions and inference for categorical data, contingency tables, generalized linear models, logistic regression, logit models for multinomial responses, loglinear models, models for matched pairs, multilevel models for categorical data,
Course Typically Offered
Every other spring
Career
Graduate
Grading Basis
GRD - Graded
Min Units
3
Max Units
3
Repeat for Credit
No
Number Of Repeats
1
Code
LEC
Name
Lecture