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Shared Frailty Model för klustrade överlevnadsdata×Log-ranktest för jämförelse av överlevnadskurvor×
ÄmnesområdeÖverlevnadsanalysÖverlevnadsanalys
FamiljSurvival analysisSurvival analysis
Ursprungsår19791966
UpphovspersonVaupel, J.W., Manton, K.G. & Stallard, E.Mantel, N.
TypRandom effects survival modelNon-parametric hypothesis test
UrsprungskällaVaupel, 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. DOI ↗Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗
Aliasshared frailty model, random effects survival model, Frailty Modeli (Paylaşılan Kırılganlık)Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Närliggande32
SammanfattningThe 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.
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ScholarGateJämför metoder: Frailty Model · Log-Rank Test. Hämtad 2026-06-20 från https://scholargate.app/sv/compare