مقایسهٔ روش‌ها

	مدل رگرسیون کوکس (Cox Proportional Hazards)	آزمون لوک-رنک برای مقایسه منحنی‌های بقا
حوزه	اپیدمیولوژی	تحلیل بقا
خانواده	Process / pipeline	Survival analysis
سال پیدایش	1972	1966
پدیدآور	Sir David Roxbee Cox	Mantel, N.
نوع	Semi-parametric regression model	Non-parametric hypothesis test
منبع بنیادین	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
نام‌های دیگر	Cox regression, Cox PH model, proportional hazards model, CPH	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
مرتبط	5	2
خلاصه	The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research.	The log-rank test, developed by Nathan Mantel in 1966, is a non-parametric hypothesis test that compares the overall survival experience of two or more groups throughout the entire follow-up period. It is the standard companion to Kaplan-Meier curves and determines whether observed differences between curves are statistically meaningful.