Description

This course will present the statistical methods for analyzing categorical data, including conditional and unconditional logistic and Poisson regression, stratified tables, matched pairs analysis, polytomous response, and ordinal data, analysis of multi-dimensional contingency tables and log-linear models. Applications in biological, biomedical, epidemiology and social sciences. Students will use R for statistical analyses.

Prerequisites

None

References

• An Introduction to categorical data analysis, 2nd ed., by Alan Agresti. Wiley, 2007.
• Statistical methods for rates and proportions, 3rd ed., by Joseph L. Fleiss, Bruce Levin, and Myunghee Cho Paik. Wiley, 2003.
• Applied logistic regression by David W. Hosmer and Stanley Lemeshow. Wiley, 2000.