Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Estimador de Supervivencia de Kaplan-Meier× | Prueba Log-Rank para Comparar Curvas de Supervivencia× | |
|---|---|---|
| Campo | Supervivencia | Supervivencia |
| Familia | Survival analysis | Survival analysis |
| Año de origen≠ | 1958 | 1966 |
| Autor original≠ | Kaplan, E. L. & Meier, P. | Mantel, N. |
| Tipo≠ | Non-parametric survival estimator | Non-parametric hypothesis test |
| Fuente seminal≠ | 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 ↗ |
| Alias≠ | product-limit estimator, km curve, kaplan-meier sağkalım analizi | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| Relacionados | 2 | 2 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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