Ordinal logistic regression is a statistical method used in medical and epidemiological studies to analyze data with an ordinal response variable, like levels of pain severity or hierarchy of health outcomes. It can also be applied to continuous data for robust results. The proportional odds model, a type of ordinal logistic regression, is a powerful tool that can handle both ordinal and continuous variables, making it a useful alternative to traditional linear models.