Logistic Regression with Cathy Zimmer

Logistic Regression

This short course provides an introduction to logistic regression. Model specification, identification, estimation, hypothesis-testing, and interpretation of results are covered. Software to estimate these models is discussed, but not demonstrated. This is not a course on software, but rather a course on the concepts and uses of logistic regression.

For more information, please contact Cathy Zimmer.

No registration required. UNC students, faculty, and staff will need to have their PID.