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Mixture Cure Model×Kaplan-Meier-skattaren×Log-ranktest för jämförelse av överlevnadskurvor×
ÄmnesområdeÖverlevnadsanalysÖverlevnadsanalysÖverlevnadsanalys
FamiljSurvival analysisSurvival analysisSurvival analysis
Ursprungsår194919581966
UpphovspersonBoag, J. W.Kaplan, E. L. & Meier, P.Mantel, N.
TypParametric mixture survival modelNon-parametric survival estimatorNon-parametric hypothesis test
UrsprungskällaBoag, J. W. (1949). Maximum Likelihood Estimates of the Proportion of Patients Cured. Journal of the Royal Statistical Society B, 11(1), 15–53. link ↗Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. 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 ↗
Aliascure fraction model, cure rate model, bounded cumulative hazard model, İyileşme Modeli (Mixture Cure Model)product-limit estimator, km curve, kaplan-meier sağkalım analiziMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Närliggande222
SammanfattningThe 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 Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.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: Mixture Cure Model · Kaplan-Meier · Log-Rank Test. Hämtad 2026-06-18 från https://scholargate.app/sv/compare