So sánh phương pháp

	Hồi quy Logistic Lũy tiến	Hồi quy Quantile
Lĩnh vực	Thống kê	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1980	1978
Người khởi xướng	Peter McCullagh	Koenker & Bassett
Loại	Ordinal regression / GLM	Conditional quantile regression
Công trình gốc	McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–142.	Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50.
Tên gọi khác	proportional-odds model, cumulative link model, ordered logit, OLR	conditional quantile regression, regression quantiles, Kantil Regresyon
Liên quan	6	5
Tóm tắt	Ordinal logistic regression — most commonly the proportional-odds model — estimates the relationship between one or more predictors and an ordered categorical outcome (e.g., Likert scales, disease severity grades, educational attainment levels). It models cumulative log-odds across the ordered categories while assuming a single shared effect of each predictor at all thresholds.	Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails.