Módszerek összehasonlítása

	Kockázattal kiigazított Cox-proporcionális имеет-arányok	Log-rank teszt túlélési görbék összehasonlítására
Tudományterület	Epidemiológia	Túléléselemzés
Módszercsalád	Process / pipeline	Survival analysis
Keletkezés éve	1972 (Cox model); risk adjustment widespread from 1980s	1966
Megalkotó	D. R. Cox (base model); risk-adjustment as routine practice formalised through clinical epidemiology literature from the 1980s onward	Mantel, N.
Típus	Multivariable survival regression	Non-parametric hypothesis test
Alapmű	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.	Mantel, N. (1966). Evaluation of Survival Data and Two New Rank Order Statistics Arising in Its Consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
Alternatív nevek	adjusted Cox regression, multivariable Cox model, covariate-adjusted survival analysis, risk-adjusted survival model	Mantel log-rank test, Mantel-Cox test, log-rank sağkalım testi, Log-Rank Testi
Kapcsolódó	5	2
Összefoglaló	Risk-adjusted Cox proportional hazards regression extends the classical Cox (1972) survival model by simultaneously entering known confounders — age, sex, comorbidities, disease severity — into the model alongside the exposure of primary interest. This adjustment isolates the independent effect of the exposure on the hazard of an event, producing hazard ratios (HRs) that are not distorted by baseline differences between comparison groups. It is the most widely used method for multivariable survival analysis in clinical and epidemiological 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.