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A fast divide-and-conquer sparse Cox regression
We propose a computationally and statistically efficient divide-and-conquer (DAC) algorithm to fit sparse Cox regression to massive datasets where the sample size [Formula: see text] is exceedingly large and the covariate dimension [Formula: see text] is not small but [Formula: see text]. The propos...
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| Pubblicato in: | Biostatistics |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8036003/ https://ncbi.nlm.nih.gov/pubmed/31545341 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxz036 |
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