قارن الطرق

	الانحدار اللوجستي	تحليل الانحدار المتعدد
المجال	إحصاء البحث	إحصاء البحث
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	1958	1801
صاحب الطريقة	David Roxbee Cox	Carl Friedrich Gauss
النوع	Method	Method
المصدر التأسيسي	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.	Draper, N. R., & Smith, H. (1966). Applied Regression Analysis. John Wiley & Sons.
الأسماء البديلة	logit model, binomial logistic regression, LR	MLR, multivariate regression, linear regression
ذات صلة	3	4
الملخص	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.	Multiple regression analysis is a statistical method for modeling the relationship between a continuous dependent variable and two or more independent variables (predictors). Originating from Gauss's early 19th-century work and formalized by Draper and Smith (1966), it estimates linear equations predicting outcomes from multiple predictors while accounting for confounding relationships, making it indispensable in epidemiology, economics, psychology, and clinical research.