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Course: STAT 22600=PBHS 32600
Title: Analysis of Categorical Data
Instructor(s): Linda Collins
Teaching Assistant(s): You-Lin Chen, Byol Kim, and Tae Hyun Kim
Class Schedule: Sec 01: TR 2:00–3:20PM in Hinds 101
Office Hours:  
Textbook(s): Agresti, Introduction to Categorical Data Analysis, 2nd edition
Description: This course covers statistical methods for the analysis of qualitative and counted data. Topics include description and inference for binomial and multinomial data using proportions and odds ratios; multi-way contingency tables; generalized linear models for discrete data; logistic regression for binary responses; multi-category logit models for nominal and ordinal responses; loglinear models for counted data; and inference for matched-pairs and correlated data. Applications and interpretations of statistical models are emphasized.

Prerequisite(s): STAT 22000 or 23400 or 24500 or 24510 and two quarters of calculus.