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	Analiza tablic trwania życia	Estymator przeżycia Kaplana-Meiera	Model Lee-Cartera
Dziedzina	Demografia	Analiza przeżycia	Demografia
Rodzina	Survival analysis	Survival analysis	Regression model
Rok powstania	1984	1958	1992
Twórca	Demographic/actuarial tradition; Chiang	Kaplan, E. L. & Meier, P.	Ronald Lee & Lawrence Carter
Typ	Age-structured mortality estimator	Non-parametric survival estimator	Stochastic mortality forecasting model
Źródło pierwotne	Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2	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.
Inne nazwy	Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu	product-limit estimator, km curve, kaplan-meier sağkalım analizi	LC Model, Lee-Carter Mortality Model, Singular Value Decomposition Mortality Model, Lee-Carter Ölümlülük Modeli
Pokrewne	3	2	2
Podsumowanie	A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike.	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.