EPI 5345 Applied Logistic Regression
1.5 units
Epidemiology and Public Health
Faculty of Medicine
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.
Components:
Lecture
Requirements:
EPI 5345 is a corequisite to EPI 5340 .
Previously Offered Terms:
Winter
All Professors
A Average (9.023)
Most Common: A+ (53%)
131 students
F
D
C
B
A-
A+
Unknown Professor
Winter 2022 - AV00
A Average (9.114)
Most Common: A+ (57%)
35 students
F
D
C
B
A-
A+