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| Landmark-analüüs tingimuslikuks elulemuseks ja dünaamiliseks ennustamiseks× | Kaplan-Meieri elulemuse estimaator× | |
|---|---|---|
| Valdkond | Elukestusanalüüs | Elukestusanalüüs |
| Perekond | Survival analysis | Survival analysis |
| Tekkeaasta≠ | 1983 | 1958 |
| Looja≠ | Anderson, J. R., Cain, K. C. & Gelber, R. D. | Kaplan, E. L. & Meier, P. |
| Tüüp≠ | Conditional survival estimator | Non-parametric survival estimator |
| Algallikas≠ | Anderson, J. R., Cain, K. C. & Gelber, R. D. (1983). Analysis of Survival by Tumor Response. Journal of Clinical Oncology, 1(11), 710–719. DOI ↗ | Kaplan, E. L. & Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| Rööpnimetused≠ | landmark method, dynamic prediction, conditional survival estimation, Landmark Analizi (Dinamik Tahmin) | product-limit estimator, km curve, kaplan-meier sağkalım analizi |
| Seotud≠ | 3 | 2 |
| Kokkuvõte≠ | Landmark analysis, introduced by Anderson, Cain, and Gelber in 1983, estimates conditional survival probabilities for subjects who are still at risk at a pre-specified point in time — the landmark — rather than at study entry. It was developed explicitly to avoid immortal time bias that arises when subjects are grouped by an event (such as a treatment change or biomarker result) that can only occur if they remain event-free long enough to experience it. | 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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