Порівняння методів

	Модель суміші з виліковуваними	Лог-ранговий критерій для порівняння кривих виживаності
Галузь	Аналіз виживаності	Аналіз виживаності
Родина	Survival analysis	Survival analysis
Рік появи	1949	1966
Автор методу	Boag, J. W.	Mantel, N.
Тип	Parametric mixture survival model	Non-parametric hypothesis test
Основоположне джерело	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.
Інші назви	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
Пов'язані	2	2
Підсумок	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.