Identification of influential observations in high-dimensional cancer survival data through the rank product test
Abstract Background Survival analysis is a statistical technique widely used in many fields of science, in particular in the medical area, and which studies the time until an event of interest occurs. Outlier detection in this context has gained great importance due to the fact that the identificati...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2018-02-01
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| Serie: | BioData Mining |
| Soggetti: | |
| Accesso online: | http://link.springer.com/article/10.1186/s13040-018-0162-z |
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