Linganisha mbinu

	Uchanganuzi wa Kaplan-Meier wa Vituo Vingi	Mfumo wa Cox Proportional Hazards
Nyanja	Epidemiolojia	Epidemiolojia
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1958 (base method); multicenter designs common from 1970s	1972
Mwanzilishi	Edward L. Kaplan and Paul Meier (method); multicenter application developed through large clinical trial consortia from the 1970s onward	Sir David Roxbee Cox
Aina	Nonparametric survival analysis in a multicenter setting	Semi-parametric regression model
Chanzo asilia	Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481.	Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202.
Majina mbadala	pooled Kaplan-Meier, multi-site KM analysis, multicenter survival curve analysis, KM pooled analysis	Cox regression, Cox PH model, proportional hazards model, CPH
Zinazohusiana	5	5
Muhtasari	Multicenter Kaplan-Meier analysis applies the Kaplan-Meier nonparametric estimator to time-to-event data collected from two or more clinical centers. By pooling or stratifying data across sites, it estimates survival functions and compares them between treatment groups while accounting for potential center effects, enabling conclusions with greater statistical power and broader generalizability than single-center studies.	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.