STAT 440(S) Categorical Data Analysis (Q)
This course focuses on methods for analyzing categorical response data. In contrast to continuous data, categorical data consist of observations classified into two or more categories. Traditional tools of statistical data analysis are not designed to handle such data and pose inappropriate assumptions. We will develop methods specifically designed to address the discrete nature of the observations and consider applications to the social sciences (e.g., is there a gender difference in the belief in life after death) the biological/medical sciences (e.g., does the probability of a severe side effects increase with the dosage of a drug) and economics. All methods are extensions of traditional ANOVA and regression models to categorical data.
Format: lecture. Evaluation will be based primarily on performance on exams, homework, and a project.
Prerequisite: Statistics 201 and Statistics 346. No enrollment limit (expected: 10).
Hour: KLINGENBERG