Categorical Data Analysis

3 credits · Allied Health Graduate Program

Topics in categorical modeling and data analysis/contingency tables; measures of association and testing; logistic regression; log-linear models; computational methods including iterative proportional fitting; models for sparse data; Poisson regression; models for ordinal categorical data and longitudinal analysis. Prerequisites: BIOSTAT 701, BIOSTAT 702, BIOSTAT 704, BIOSTAT 705, or permission of the Director of Graduate Studies Credits: 3