Krahasoni metodat

	Estimatori Kaplan-Meier	Modeli i Rrezikut Proporcional të Cox
Fusha	Statistikë	Epidemiologji
Familja	Survival analysis	Process / pipeline
Viti i origjinës	1958	1972
Krijuesi	Edward L. Kaplan and Paul Meier	Sir David Roxbee Cox
Lloji	Nonparametric estimator	Semi-parametric regression model
Burimi themelues	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.
Emërtime të tjera	KM estimator, product-limit estimator, Kaplan-Meier curve, survival curve estimator	Cox regression, Cox PH model, proportional hazards model, CPH
Të lidhura	2	5
Përmbledhja	The Kaplan-Meier estimator is a nonparametric method for estimating the survival function S(t) — the probability that an individual survives beyond time t — from data that include censored observations. Introduced by Edward L. Kaplan and Paul Meier in their landmark 1958 JASA paper, it is the standard first step in any survival analysis and is among the most-cited statistical methods in biomedical research.	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.