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Explore ordered categories and statistical rethinking in this comprehensive lecture. Delve into trolley problems, cumulative log-odds, and ordered logit examples. Examine sample bias, confounding, and ordered predictors. Learn about Dirichlet priors and complex causal effects. Gain insights into big ordered logit models and repeat observations. Access accompanying slides and course materials on GitHub. Enjoy musical interludes and relevant video clips throughout the presentation.
