Linganisha mbinu

	Mfumo wa Cox Proportional Hazards	Kipimo cha Log-Rank cha Kulinganisha Milia ya Uhai
Nyanja	Epidemiolojia	Uchanganuzi wa Uhai
Familia	Process / pipeline	Survival analysis
Mwaka wa asili	1972	1966
Mwanzilishi	Sir David Roxbee Cox	Mantel, N.
Aina	Semi-parametric regression model	Non-parametric hypothesis test
Chanzo asilia	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.
Majina mbadala	Cox regression, Cox PH model, proportional hazards model, CPH	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Zinazohusiana	5	2
Muhtasari	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.