EPIJ 5345
Applied Logistic Regression
Foundation of model estimation: maximum likelihood; modeling dichotomous outcome (dependent) variables: logistic regression; logistic models with several independent variables; interpretation of model parameters; model-building strategies; assessing the fit of the model; regression diagnostics. Classes will include hands-on modeling examples using SAS statistical software.
Prerequisites & course information
Prerequisite(s): EPI 5340.
Sources
- Course catalogue ↗2026–2027