Comparar métodos

	Cox Proportional Hazards com Ajuste de Risco	Teste Log-Rank para Comparação de Curvas de Sobrevivência
Área	Epidemiologia	Análise de sobrevivência
Família	Process / pipeline	Survival analysis
Ano de origem	1972 (Cox model); risk adjustment widespread from 1980s	1966
Autor original	D. R. Cox (base model); risk-adjustment as routine practice formalised through clinical epidemiology literature from the 1980s onward	Mantel, N.
Tipo	Multivariable survival regression	Non-parametric hypothesis test
Fonte seminal	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.
Outros nomes	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
Relacionados	5	2
Resumo	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.