NURSING 919
Secondary Analysis Large Datasets in Health-Related Studies: Research Design, Management & Analysis
Jihui L. Diaz
Description from DukeHub
This course will provide the student with expertise in locating, evaluating, obtaining and utilizing large secondary datasets (i.e., electronic health data), useful for health care related studies. Confidentiality requirements, ethical issues and development of data use agreements to facilitate access while protecting privacy will be reviewed. The student will gain experience in hands on use of a variety of data sets to answer specific questions and to inform population health problem definition and to design research studies that incorporate the strengths of chosen datasets while minimizing data limitations. Recommended pre-requisite: completion of graduate statistics course and graduate research course. Others with strong quantitative backgrounds by permission of instructor.
Skills
- data and statisticsdescription: "datasets" and 3 more
- designtitle: "design"
- research methodstitle: "research design"
- clinicaldepartment: NURSING
AI-resilient: 1 of 5
- No: Physical, lab or field work
- No: Live work with people
- Yes: Judgment someone is accountable for · "ethical"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
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