Generalized Ordered Logit/Partial Proportional Odds Models for Ordinal Dependent Variables

Proportional Odds and Partial Proportional Odds Models for Ordinal Response Variables

Ordinal regression modelling between proportional odds and non-proportional odds

Generalized Odds Ratios for Ordinal Data

repolr: An R Package for Fitting Proportional-odds Models to Repeated Ordinal Scores

Modelling repeated ordinal score data is a common statistical problem, across many application areas. The proportional-odds model is widely applied to such repeated ordinal scores and can be fitted in the repolr package (repeated measures proportional odds logistic regression) in R using the method of generalized estimating equations (GEE). The GEE approach specifies a model for the mean of the...

Model Diagnostics for Proportional and Partial Proportional Odds Models