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A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates
In an ultra-high dimensional setting with a huge number of covariates, variable screening is useful for dimension reduction before applying a more refined method for model selection and statistical analysis. This paper proposes a new sure joint screening procedure for right-censored time-to-event da...
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| Publicado no: | Stat Methods Med Res |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8285086/ https://ncbi.nlm.nih.gov/pubmed/31359834 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280219864710 |
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