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NURS 6230: Applied Statistics and Secondary Analysis for Health Data
This course reviews statistical methods commonly applied in nursing, medical, and public health research settings by focusing on secondary analyses of existing data. Parametric and non-parametric estimation and testing methods appropriate for univariate, bivariate, and multivariate data are covered. Data preparation techniques and statistical software options are introduced. Sources of public as well as investigator-controlled data will be considered. Students will gain hands-on experience by conducting a comprehensive statistical analysis of an existing health-related dataset.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- Open to nursing Ph.D. students; Open to students not in the Nursing Ph.D. program with instructor consent.
Spring 2027 sections
Taught by Zequan Wang.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:15AM - 2:00PM / We | Zequan Wang | Storrs | STRS 118 | 11 of 12 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.