Applied Ordinal Logistic Regression Using — Stata

While there are several excellent papers and guides, the definitive core resource on this topic is actually a textbook: by Xing Liu (2016) .

: A practical application found on ScienceDirect uses proportional and partial proportional odds models to classify household energy usage, providing a clear roadmap for reporting results. Applied Ordinal Logistic Regression Using Stata

: This paper by Xing Liu (2009) is excellent for seeing how Stata’s ologit command compares to other software, illustrating how it fits proportional odds models using real educational data. While there are several excellent papers and guides,

: For a fast, tutorial-style "paper," the UCLA Stata Data Analysis Examples provide code snippets, output interpretation, and step-by-step guidance for running ologit . Applied Ordinal Logistic Regression Using Stata : For a fast, tutorial-style "paper," the UCLA

: This article on PMC demonstrates using ordinal logistic regression to determine household socioeconomic factors, explicitly recommending the use of partial proportional odds models (PPOM) when covariates violate proportionality. Quick Reference Guides