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EPIJ 5345

Applied Logistic Regression

0.25 credit · Graduate

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.

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