Σύγκριση μεθόδων

	Εκτιμητής Επιβίωσης Kaplan-Meier	Μοντέλο Lee-Carter
Πεδίο	Ανάλυση Επιβίωσης	Δημογραφία
Οικογένεια	Survival analysis	Regression model
Έτος προέλευσης	1958	1992
Δημιουργός	Kaplan, E. L. & Meier, P.	Ronald Lee & Lawrence Carter
Τύπος	Non-parametric survival estimator	Stochastic mortality forecasting model
Θεμελιώδης πηγή	Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481.	Lee, R. D., & Carter, L. R. (1992). Modeling and forecasting U.S. mortality. Journal of the American Statistical Association, 87(419), 659–671.
Εναλλακτικές ονομασίες	product-limit estimator, km curve, kaplan-meier sağkalım analizi	LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli
Συναφείς	2	2
Σύνοψη	The Kaplan-Meier estimator, introduced by Kaplan and Meier in 1958, is a non-parametric method that estimates the survival curve — the probability of remaining event-free over time — from right-censored time-to-event data. The log-rank test is the companion procedure used to compare survival curves between groups.	The Lee-Carter model is a stochastic framework for modeling and forecasting age-specific mortality rates, introduced by Ronald Lee and Lawrence Carter in their landmark 1992 paper. It decomposes the logarithm of age-specific death rates into an age pattern of mortality, a time-varying index of mortality level, and an age-specific sensitivity of that index, then forecasts the time index using ARIMA time-series methods to generate probabilistic mortality projections.