Applied Ordinal: Logistic Regression Using Stata

: For cases where the proportional odds assumption is violated, the seminal paper on the gologit2 command by Richard Williams (2006) is the industry standard for learning how to fit partial proportional odds models in Stata. Applied Research Examples

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

: 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 cases where the proportional odds assumption

: 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. Applied Ordinal Logistic Regression Using Stata : This