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| Sterbetafelanalyse× | Kaplan-Meier Überlebensschätzer× | |
|---|---|---|
| Fachgebiet≠ | Demographie | Überlebenszeitanalyse |
| Familie | Survival analysis | Survival analysis |
| Entstehungsjahr≠ | 1984 | 1958 |
| Urheber≠ | Demographic/actuarial tradition; Chiang | Kaplan, E. L. & Meier, P. |
| Typ≠ | Age-structured mortality estimator | Non-parametric survival estimator |
| Wegweisende Quelle≠ | 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. DOI ↗ |
| Aliasnamen≠ | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Verwandt≠ | 3 | 2 |
| Zusammenfassung≠ | 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. |
| ScholarGateDatensatz ↗ |
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