Biostatistics and Epidemiology for GH Science II

Description from DukeHub

Builds on Quantitative Methods I. Provides common understanding of regression including linear, logistic, and general linear regression, use and interpretation of dichotomous and continuous variables, indicator terms, and interaction terms, and regression diagnostics. Required lab section.

Skills

• data and statisticsdescription: "quantitative" and 3 more
• lab workhas a lab component

AI-resilient: 2 of 5 2/5

• ✓Yes: Physical, lab or field work · "lab"
• No: Live work with people
• ✓Yes: Judgment someone is accountable for · "diagnostics"
• 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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