ST 544
Applied Categorical Data Analysis
Section: 601

Course Description

This course focuses on the concepts, methods, and models used to analyze categorical data, particularly contingency tables, count data and binary/binomial type of data. The topics covered include Pearson Chi-squared independence test for contingency tables, measures of marginal and conditional associations, small-sample inference, logistic regression models for independent binary/binomial data and many extended models for correlated binary/binomial data including matched data and longitudinal data. The course emphasizes the implementation of methods/models using SAS and the interpretation of the results from the output.

DE Program

Statistics Online Masters Program

SUM2 5W 2020

Classes Start:
June 22, 2020
Classes End:
July 24, 2020
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
Prerequisite: ST 512 or ST 514 or ST 515 or ST 516