Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Náhodný les pro přežití× | Odhad kumulativní hazardní funkce Nelson-Aalen× | |
|---|---|---|
| Obor | Analýza přežití | Analýza přežití |
| Rodina | Survival analysis | Survival analysis |
| Rok vzniku≠ | 2008 | 1972 |
| Tvůrce≠ | Ishwaran, H., Kogalur, U.B., Blackstone, E.H. & Lauer, M.S. | Wayne Nelson & Odd Aalen |
| Typ≠ | Ensemble machine learning survival model | Non-parametric cumulative hazard estimator |
| Původní zdroj≠ | Ishwaran, H., Kogalur, U.B., Blackstone, E.H. & Lauer, M.S. (2008). Random Survival Forests. Annals of Applied Statistics, 2(3), 841–860. DOI ↗ | Nelson, W. (1972). Theory and applications of hazard plotting for censored failure data. Technometrics, 14(4), 945–966. DOI ↗ |
| Další názvy≠ | RSF, Rastgele Sağkalım Ormanı (RSF), survival random forest | Nelson-Aalen cumulative hazard, Aalen estimator, empirical cumulative hazard, Nelson-Aalen kümülatif hazard tahmincisi |
| Příbuzné≠ | 2 | 5 |
| Shrnutí≠ | Random Survival Forest (RSF), introduced by Ishwaran, Kogalur, Blackstone, and Lauer in 2008, is an ensemble machine learning method that adapts the Random Forest algorithm to time-to-event (survival) data. Trees are grown using log-rank splitting to handle censored observations naturally, and the ensemble aggregates cumulative hazard functions across hundreds of trees to produce predictions and variable importance rankings. | The Nelson-Aalen estimator is a non-parametric estimator of the cumulative hazard function from right-censored time-to-event data. Developed by Wayne Nelson for reliability hazard plotting in 1972 and placed on a rigorous counting-process foundation by Odd Aalen in 1978, it accumulates the ratio of observed events to the number at risk at each event time, providing the natural hazard-scale companion to the Kaplan-Meier survival curve. |
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