So sánh phương pháp

	Hồi quy Logistic Lũy tiến	Mô hình Tuyến tính Tổng quát (GLM)
Lĩnh vực	Thống kê	Thống kê
Họ	Regression model	Regression model
Năm ra đời	1980	1972
Người khởi xướng	Peter McCullagh	John A. Nelder & Robert W. M. Wedderburn
Loại	Ordinal regression / GLM	Regression framework
Công trình gốc	McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–142.	Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society: Series A (General), 135(3), 370–384.
Tên gọi khác	proportional-odds model, cumulative link model, ordered logit, OLR	GLM, generalized regression, exponential family regression, link-function model
Liên quan	6	6
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.	The Generalized Linear Model is a unified regression framework that extends ordinary linear regression to outcomes from the exponential family — including binary, count, proportion, and continuous positive outcomes. A link function connects the linear predictor to the mean of the response, enabling principled modelling beyond the Gaussian case.