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Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Makadirio ya Idadi ya Watu kwa Njia ya Vikundi-Vijenzi× | Kikokotozi cha Kuishi cha Kaplan-Meier× | |
|---|---|---|
| Nyanja≠ | Demografia | Uchanganuzi wa Uhai |
| Familia≠ | Process / pipeline | Survival analysis |
| Mwaka wa asili≠ | 2001 | 1958 |
| Mwanzilishi≠ | Preston, Heuveline & Guillot | Kaplan, E. L. & Meier, P. |
| Aina≠ | Demographic projection pipeline | Non-parametric survival estimator |
| Chanzo asilia≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 978-1-557-86451-2 | Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| Majina mbadala≠ | Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Zinazohusiana≠ | 3 | 2 |
| Muhtasari≠ | Cohort-Component Projection is the standard demographic method for forecasting future population size and age-sex structure by explicitly tracking births, deaths, and migration for each age-sex cohort across discrete time steps. Systematically formalized in the textbook literature by Preston, Heuveline, and Guillot (2001), the method builds on foundational actuarial and demographic work dating to the early twentieth century and remains the workhorse technique used by national statistical offices and international organizations worldwide. | 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. |
| ScholarGateSeti ya data ↗ |
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