NURSING 903
The General Linear Models
Wei Pan
Description from DukeHub
This course focuses on conceptual and methodological issues involved in the analysis of quantitative survey and clinical data using general linear models and extensions of linear models known as generalized linear models. Topics include factorial analysis of variance, analysis of covariance, multiple regression, logistic regression, and Poisson regression. Emphasis is on the application of these statistical methods in the design and analysis of nursing and health sciences research in the area of health equity and social determinants of health (SDOH). The student will apply concepts by analyzing existing datasets.
Skills
- data and statisticsdescription: "quantitative" and 5 more
- clinicaldepartment: NURSING
AI-resilient: 2 of 5
- No: Physical, lab or field work
- Yes: Live work with people · "clinical"
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- Yes: Small, in-person format · seminar, 15 seats per section
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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