Sammenlign metoder

	Cox proporsjonal hazard-modell	Log-rank-test for sammenligning av overlevelseskurver
Fagfelt	Epidemiologi	Overlevelsesanalyse
Familie	Process / pipeline	Survival analysis
Opprinnelsesår	1972	1966
Opphavsperson	Sir David Roxbee Cox	Mantel, N.
Type	Semi-parametric regression model	Non-parametric hypothesis test
Opprinnelig kilde	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.
Alias	Cox regression, Cox PH model, proportional hazards model, CPH	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Relaterte	5	2
Sammendrag	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.