পদ্ধতির তুলনা করুন

	Clustered Survival Data-র জন্য Shared Frailty Model	সার্ভাইভাল কার্ভ (Survival Curve) তুলনা করার জন্য লগ-র‍্যাঙ্ক পরীক্ষা
ক্ষেত্র	উত্তরজীবিতা	উত্তরজীবিতা
পরিবার	Survival analysis	Survival analysis
উদ্ভবের বছর	1979	1966
প্রবর্তক	Vaupel, J.W., Manton, K.G. & Stallard, E.	Mantel, N.
ধরন	Random effects survival model	Non-parametric hypothesis test
মৌলিক উৎস	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.
অপর নাম	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
সম্পর্কিত	3	2
সারসংক্ষেপ	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.