Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchanganuzi wa Jedwali la Maisha× | Kikokotozi cha Kuishi cha Kaplan-Meier× | |
|---|---|---|
| Nyanja≠ | Demografia | Uchanganuzi wa Uhai |
| Familia | Survival analysis | Survival analysis |
| Mwaka wa asili≠ | 1984 | 1958 |
| Mwanzilishi≠ | Demographic/actuarial tradition; Chiang | Kaplan, E. L. & Meier, P. |
| Aina≠ | Age-structured mortality estimator | Non-parametric survival estimator |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala≠ | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Zinazohusiana≠ | 3 | 2 |
| Muhtasari≠ | 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. |
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