$$L_1$$ L 1 splitting rules in survival forests
| Autor: | François Bellavance, Denis Larocque, Hoora Moradian |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Hazard (logic) Applied Mathematics General Medicine Absolute difference Split function 01 natural sciences Ensemble learning Random forest 010104 statistics & probability 03 medical and health sciences 030104 developmental biology Survival data Statistics Econometrics 0101 mathematics Mathematics |
| Zdroj: | Lifetime Data Analysis. 23:671-691 |
| ISSN: | 1572-9249 1380-7870 |
| Popis: | The log-rank test is used as the split function in many commonly used survival trees and forests algorithms. However, the log-rank test may have a significant loss of power in some circumstances, especially when the hazard functions or when the survival functions cross each other in the two compared groups. We investigate the use of the integrated absolute difference between the two children nodes survival functions as the splitting rule. Simulations studies and applications to real data sets show that forests built with this rule produce very good results in general, and that they are often better compared to forests built with the log-rank splitting rule. |
| Databáze: | OpenAIRE |
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