เปรียบเทียบวิธี

	การถดถอยโลจิสติก	การถดถอยโลจิสติกส์หลายตัวแปร (Multinomial Logistic Regression)
สาขาวิชา	สถิติการวิจัย	เศรษฐมิติ
ตระกูล	Process / pipeline	Regression model
ปีกำเนิด	1958	1974
ผู้ริเริ่ม	David Roxbee Cox	McFadden
ประเภท	Method	Multinomial logistic regression
แหล่งต้นตำรับ	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.	McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503
ชื่อเรียกอื่น	logit model, binomial logistic regression, LR	multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon
ที่เกี่ยวข้อง	3	5
สรุป	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.	Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.