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Censored Rank Independence Screening for High-dimensional Survival Data
In modern statistical applications, the dimension of covariates can be much larger than the sample size. In the context of linear models, correlation screening (Fan and Lv, 2008) has been shown to reduce the dimension of such data effectively while achieving the sure screening property, i.e., all of...
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| Veröffentlicht in: | Biometrika |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4318124/ https://ncbi.nlm.nih.gov/pubmed/25663709 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asu047 |
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