Сравнение на методи

	Случайна гора за преживяемост	Оценител на преживяемостта на Каплан-Майер	Оценъчен метод на Нелсън-Аален за кумулативен риск
Област	Анализ на преживяемостта	Анализ на преживяемостта	Анализ на преживяемостта
Семейство	Survival analysis	Survival analysis	Survival analysis
Година на възникване	2008	1958	1972
Създател	Ishwaran, H., Kogalur, U.B., Blackstone, E.H. & Lauer, M.S.	Kaplan, E. L. & Meier, P.	Wayne Nelson & Odd Aalen
Тип	Ensemble machine learning survival model	Non-parametric survival estimator	Non-parametric cumulative hazard estimator
Основополагащ източник	Ishwaran, H., Kogalur, U.B., Blackstone, E.H. & Lauer, M.S. (2008). Random Survival Forests. Annals of Applied Statistics, 2(3), 841–860.	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.
Други названия	RSF, Rastgele Sağkalım Ormanı (RSF), survival random forest	product-limit estimator, km curve, kaplan-meier sağkalım analizi	Nelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi
Свързани	2	2	5
Резюме	Random Survival Forest (RSF), introduced by Ishwaran, Kogalur, Blackstone, and Lauer in 2008, is an ensemble machine learning method that adapts the Random Forest algorithm to time-to-event (survival) data. Trees are grown using log-rank splitting to handle censored observations naturally, and the ensemble aggregates cumulative hazard functions across hundreds of trees to produce predictions and variable importance rankings.	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.