Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Estimador de Kaplan-Meier× | Prueba Log-Rank para Comparar Curvas de Supervivencia× | |
|---|---|---|
| Campo≠ | Estadística | Supervivencia |
| Familia | Survival analysis | Survival analysis |
| Año de origen≠ | 1958 | 1966 |
| Autor original≠ | Edward L. Kaplan and Paul Meier | Mantel, N. |
| Tipo≠ | Nonparametric 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 | KM estimator, product-limit estimator, Kaplan-Meier curve, survival curve estimator | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi |
| Relacionados | 2 | 2 |
| Resumen≠ | The Kaplan-Meier estimator is a nonparametric method for estimating the survival function S(t) — the probability that an individual survives beyond time t — from data that include censored observations. Introduced by Edward L. Kaplan and Paul Meier in their landmark 1958 JASA paper, it is the standard first step in any survival analysis and is among the most-cited statistical methods in biomedical research. | 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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