Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Log-rang-test voor het vergelijken van overlevingscurven× | Kaplan-Meier Overlevingsschatter× | |
|---|---|---|
| Vakgebied | Overlevingsanalyse | Overlevingsanalyse |
| Familie | Survival analysis | Survival analysis |
| Jaar van ontstaan≠ | 1966 | 1958 |
| Grondlegger≠ | Mantel, N. | Kaplan, E. L. & Meier, P. |
| Type≠ | Non-parametric hypothesis test | Non-parametric survival estimator |
| Oorspronkelijke bron≠ | 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 ↗ | Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| Aliassen≠ | Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Verwant | 2 | 2 |
| Samenvatting≠ | 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. | 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. |
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