Statistical Rethinking: Methods and Applications in Evolutionary Anthropology and Biology

Description from DukeHub

Application of modern statistical methods in evolutionary anthropology and biology, including their theoretical foundations and application to phylogenetics, comparative methods, morphometrics, etc. The goal is to move from the limitations of frequentist statistical tests (i.e., p-values) and toward a richer assessment of scientific hypotheses, including Bayesian approaches. We will use a flipped classroom to provide hands-on team-based learning in R. Recommended prerequisite: 200- or 300-level Evolutionary Anthropology or Biology course and introductory statistics.

Skills

• data and statisticsdescription: "statistical" and 4 more
• programmingAI review: "hands-on team-based learning in R"

AI-resilient: 2 of 5 2/5

• ✓Yes: Physical, lab or field work · "hands-on"
• ✓Yes: Live work with people · "team"
• 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 EVANTH

• Introduction to Evolutionary Anthropology EVANTH 101L
• The Human Species: An Evolutionary Perspective EVANTH 102CC
• The Dynamic Human Journey: Biology and Culture in Deep Time EVANTH 115CN
• Evolution, Health, and Wellness: Navigating Modern Life in an Ancient Body EVANTH 211
• Anatomy of the Lower Extremities EVANTH 231L
• Primate Ecology and Behavior EVANTH 253

All EVANTH courses · All of Graduate School