Porovnať metódy

	Mixture Cure Model	Kaplanov-Meierov odhad prežitia
Odbor	Analýza prežívania	Analýza prežívania
Rodina	Survival analysis	Survival analysis
Rok vzniku	1949	1958
Tvorca	Boag, J. W.	Kaplan, E. L. & Meier, P.
Typ	Parametric mixture survival model	Non-parametric survival estimator
Pôvodný zdroj	Boag, J. W. (1949). Maximum Likelihood Estimates of the Proportion of Patients Cured. Journal of the Royal Statistical Society B, 11(1), 15–53.	Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481.
Ďalšie názvy	cure fraction model, cure rate model, bounded cumulative hazard model, İyileşme Modeli (Mixture Cure Model)	product-limit estimator, km curve, kaplan-meier sağkalım analizi
Príbuzné	2	2
Zhrnutie	The mixture cure model, first proposed by Boag in 1949 for cancer survival data, is a parametric survival model that explicitly accounts for a fraction of subjects who will never experience the event of interest — the so-called cured or immune fraction. It is the appropriate tool whenever the Kaplan-Meier curve levels off into a long, stable plateau rather than continuing to decline, indicating that a proportion of subjects are permanently event-free.	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.