Krahasoni metodat

	Analiza e fuqisë për studimet e mbijetesës	Modeli i Rrezikut Proporcional të Cox
Fusha	Statistikë	Epidemiologji
Familja	Hypothesis test	Process / pipeline
Viti i origjinës	1981	1972
Krijuesi	—	Sir David Roxbee Cox
Lloji	Sample size determination for survival outcomes	Semi-parametric regression model
Burimi themelues	Schoenfeld, D. A. (1981). The asymptotic properties of nonparametric tests for comparing survival distributions. Biometrika, 68(1), 316–319.	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.
Emërtime të tjera	log-rank power analysis, cox regression power analysis, survival power analysis, Sağkalım Analizi Güç Analizi	Cox regression, Cox PH model, proportional hazards model, CPH
Të lidhura	6	5
Përmbledhja	Power analysis for survival studies determines how many participants — and how many observed events — are required so that a log-rank test or Cox regression has a sufficient probability of detecting a clinically meaningful difference in survival between groups. The foundational formulas were derived by Schoenfeld (1981) and Lachin (1981) and remain the standard approach in clinical trial planning.	The Cox proportional hazards model is a semi-parametric regression method that estimates the effect of one or more covariates on the hazard — the instantaneous rate of an event such as death, relapse, or failure — while making no assumption about the shape of the baseline hazard function. Introduced by David Cox in 1972, it is the dominant tool for multivariable survival analysis in clinical and epidemiological research.