Порівняння методів

	Модель спільної невидимості для кластеризованих даних виживаності	Лог-ранговий критерій для порівняння кривих виживаності
Галузь	Аналіз виживаності	Аналіз виживаності
Родина	Survival analysis	Survival analysis
Рік появи	1979	1966
Автор методу	Vaupel, J.W., Manton, K.G. & Stallard, E.	Mantel, N.
Тип	Random effects survival model	Non-parametric hypothesis test
Основоположне джерело	Vaupel, J.W., Manton, K.G. & Stallard, E. (1979). The Impact of Heterogeneity in Individual Frailty on the Dynamics of Mortality. Demography, 16(3), 439–454.	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	shared frailty model, random effects survival model, Frailty Modeli (Paylaşılan Kırılganlık)	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Пов'язані	3	2
Підсумок	The shared frailty model, introduced by Vaupel, Manton, and Stallard in 1979, extends standard survival regression by incorporating a random effect — the 'frailty' — that captures unobserved heterogeneity among subjects or clusters. When survival outcomes are measured on individuals who share a common environment (patients in the same hospital, members of the same family, animals in the same litter), a frailty term accounts for the within-cluster dependence that ordinary Cox regression ignores.	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.