ScholarGate
Assistent

Methoden vergelijken

Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Log-rang-test voor het vergelijken van overlevingscurven×Nelson-Aalen Cumulatieve Hazard Schatter×
VakgebiedOverlevingsanalyseOverlevingsanalyse
FamilieSurvival analysisSurvival analysis
Jaar van ontstaan19661972
GrondleggerMantel, N.Wayne Nelson & Odd Aalen
TypeNon-parametric hypothesis testNon-parametric cumulative hazard estimator
Oorspronkelijke bronMantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170. link ↗Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966. DOI ↗
AliassenMantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank TestiNelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi
Verwant25
SamenvattingThe 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 Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve.
ScholarGateGegevensset
  1. v1
  2. 2 Bronnen
  3. PUBLISHED
  1. v1
  2. 2 Bronnen
  3. PUBLISHED

Naar zoeken Dia's downloaden

ScholarGateMethoden vergelijken: Log-Rank Test · Nelson-Aalen Estimator. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare