Course: STAT 22600=PBHS 32600
Title: Analysis of Categorical Data
Instructor(s): Yibi Huang
Teaching Assistant(s): TBA
Class Schedule: Section 1: MWF 10:20 AM–11:10 AM (Remote)
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.