Sammenlign metoder

	Blandingskur-modellen	Kaplan-Meier overlevelsesestimator	Log-rank-test for sammenligning av overlevelseskurver
Fagfelt	Overlevelsesanalyse	Overlevelsesanalyse	Overlevelsesanalyse
Familie	Survival analysis	Survival analysis	Survival analysis
Opprinnelsesår	1949	1958	1966
Opphavsperson	Boag, J. W.	Kaplan, E. L. & Meier, P.	Mantel, N.
Type	Parametric mixture survival model	Non-parametric survival estimator	Non-parametric hypothesis test
Opprinnelig kilde	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.	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	cure fraction model, cure rate model, bounded cumulative hazard model, İyileşme Modeli (Mixture Cure Model)	product-limit estimator, km curve, kaplan-meier sağkalım analizi	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Relaterte	2	2	2
Sammendrag	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.	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.