Regression Methods for Population Health

Description from DukeHub

Building on POPHS 701, this course covers regression methods for population health data. Topics include multivariable linear regression and logistic regression, with an introduction to generalized linear models and causal inference methods. Survival analysis and related regression methods are also covered. Students will use statistical software to explore data and perform statistical analysis.

Skills

• data and statisticsdescription: "regression" and 6 more

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• 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

More in POPHS

• Introduction to Statistical Programming for Population Health Sciences II POPHS 704
• Introduction to the US Healthcare System POPHS 706
• Research Methods II: Evidence, Methods, and Decision Making in Population Health POPHS 708
• Professional Development II POPHS 710
• Population Health Capstone POPHS 752
• Data for Population Health POPHS 816

All POPHS courses · All of Graduate School