A lecture on the foundational statistical concept of orderings and ordinal data, exploring their analysis and complications in fields like health research.
Explores the challenges of analyzing ordinal data, focusing on transformation invariance and the limitations of statistical comparisons.
Explains the proportional odds model for ordinal data, its assumptions, and discusses methods for testing the proportionality of odds.
Explores the mathematical and data science challenges of analyzing ordinal data, including tradeoffs in interpreting ordered scales and model limitations.
