Salīdzināt metodes

	Jaukto izdzīvošanas modelis ar izārstēto frakciju	Log-rank tests salīdzināšanai izdzīvošanas līknēm
Nozare	Dzīvildze	Dzīvildze
Saime	Survival analysis	Survival analysis
Izcelsmes gads	1949	1966
Autors	Boag, J. W.	Mantel, N.
Tips	Parametric mixture survival model	Non-parametric hypothesis test
Pirmavots	Boag, J. W. (1949). Maximum Likelihood Estimates of the Proportion of Patients Cured. Journal of the Royal Statistical Society B, 11(1), 15–53.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
Citi nosaukumi	cure fraction model, cure rate model, bounded cumulative hazard model, İyileşme Modeli (Mixture Cure Model)	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Saistītās	2	2
Kopsavilkums	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 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.