Students completing this course should:
- Be competent on the analysis of categorical outcomes presented in STA 507.
- Be competent in logistic and categorical regression modeling, building, and diagnostics.
- Understand the difference between underdispersion and overdispersion.
- Be introduced to inflated outcomes.
- Be introduced to the Receiver Operating Characteristic (ROC) curves and Optimal Operating
Points (OOP).
- Be introduced to Mixture Models.
- Demonstrate competence with PROC LOGISTIC, PROC GENMOD, PROC COUNTREG, PROC FMM ,
PROC NLMIXED, and PROC GLIMMIX.