Σύγκριση μεθόδων

	Δοκιμή Log-Rank για Σύγκριση Καμπυλών Επιβίωσης	Παραμετρική Ανάλυση Επιβίωσης Weibull
Πεδίο	Ανάλυση Επιβίωσης	Ανάλυση Επιβίωσης
Οικογένεια	Survival analysis	Survival analysis
Έτος προέλευσης	1966	1951
Δημιουργός	Mantel, N.	Waloddi Weibull
Τύπος	Non-parametric hypothesis test	Fully parametric survival regression model
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	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
Συναφείς	2	4
Σύνοψη	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.