NUR 2114 - APPLIED REGRESSION FOR HEALTH SCIENCE RESEARCH

Minimum Credits: 3
Maximum Credits: 3
This course covers classical and more modern regression analysis methods with application to the health sciences. A major focus is simple and multiple linear regression and its underlying assumptions for valid inference. Remedial strategies will be presented for regression when nonstandard conditions exist. Predictive modeling using nonlinear regression methods, regression trees, and rule-based models will be introduced. Implementation of regression using statistical software will be presented using data examples from health science research.
Academic Career: Graduate
Course Component: Seminar
Grade Component: Grad LG/SU3 Basis
Course Requirements: PREQ: NUR 2112 and NUR 2113

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