Sammenlign metoder

	Log-rank test til sammenligning af overlevelseskurver	Weibull parametrisk overlevelsesregression
Fagområde	Overlevelsesanalyse	Overlevelsesanalyse
Familie	Survival analysis	Survival analysis
Oprindelsesår	1966	1951
Ophavsperson	Mantel, N.	Waloddi Weibull
Type	Non-parametric hypothesis test	Fully parametric survival regression model
Oprindelig kilde	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.	Kalbfleisch, J. D. & Prentice, R. L. (2002). The Statistical Analysis of Failure Time Data (2nd ed.). Wiley.
Aliasser	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi	weibull aft model, weibull survival model, parametric survival regression, Weibull Regresyonu — Parametrik Hayatta Kalma
Relaterede	2	4
Resumé	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.	Weibull regression is a fully parametric survival model, formalised by Kalbfleisch and Prentice, that assumes survival times follow a Weibull distribution. A shape parameter controls whether the hazard increases, decreases, or remains constant over time, while covariates shift the scale of the distribution to express how predictors affect survival.