Methoden vergleichen

	Cox-Proportional-Hazards-Regression	Kaplan-Meier Überlebensschätzer	Nelson-Aalen-Schätzer für die kumulative Hazardfunktion
Fachgebiet	Überlebenszeitanalyse	Überlebenszeitanalyse	Überlebenszeitanalyse
Familie	Survival analysis	Survival analysis	Survival analysis
Entstehungsjahr	1972	1958	1972
Urheber	Cox, D. R.	Kaplan, E. L. & Meier, P.	Wayne Nelson & Odd Aalen
Typ	Semi-parametric hazard regression model	Non-parametric survival estimator	Non-parametric cumulative hazard estimator
Wegweisende Quelle	Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society: Series B, 34(2), 187–202.	Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481.	Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966.
Aliasnamen	cox ph model, proportional hazards model, cox ph regression, Cox Orantılı Tehlikeler Regresyonu	product-limit estimator, km curve, kaplan-meier sağkalım analizi	Nelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi
Verwandt	3	2	5
Zusammenfassung	Cox proportional hazards regression, introduced by D. R. Cox in 1972, is a semi-parametric model that estimates how one or more covariates affect the hazard — the instantaneous rate of experiencing an event — while leaving the baseline hazard function unspecified. It is the standard multivariable method in survival analysis and produces hazard ratios that quantify the relative risk associated with each predictor.	The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.	The Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve.