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- Publisher Website: 10.1007/s10985-017-9395-2
- Scopus: eid_2-s2.0-85019692674
- PMID: 28550654
- WOS: WOS:000427392500004
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Article: Censored cumulative residual independent screening for ultrahigh-dimensional survival data
Title | Censored cumulative residual independent screening for ultrahigh-dimensional survival data |
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Authors | |
Keywords | Cumulative residual Model-free screening Sure screening property Survival data Ultrahigh-dimensional data |
Issue Date | 2018 |
Publisher | Springer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1380-7870 |
Citation | Lifetime Data Analysis, 2018, v. 24 n. 2, p. 273-292 How to Cite? |
Abstract | For complete ultrahigh-dimensional data, sure independent screening methods can effectively reduce the dimensionality while retaining all the active variables with high probability. However, limited screening methods have been developed for ultrahigh-dimensional survival data subject to censoring. We propose a censored cumulative residual independent screening method that is model-free and enjoys the sure independent screening property. Active variables tend to be ranked above the inactive ones in terms of their association with the survival times. Compared with several existing methods, our model-free screening method works well with general survival models, and it is invariant to the monotone transformation of the responses, as well as requiring substantially weaker moment conditions. Numerical studies demonstrate the usefulness of the censored cumulative residual independent screening method, and the new approach is illustrated with a gene expression data set. |
Persistent Identifier | http://hdl.handle.net/10722/245286 |
ISSN | 2023 Impact Factor: 1.2 2023 SCImago Journal Rankings: 1.079 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhang, J | - |
dc.contributor.author | Yin, G | - |
dc.contributor.author | Liu, Y | - |
dc.contributor.author | Wu, Y | - |
dc.date.accessioned | 2017-09-18T02:07:57Z | - |
dc.date.available | 2017-09-18T02:07:57Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Lifetime Data Analysis, 2018, v. 24 n. 2, p. 273-292 | - |
dc.identifier.issn | 1380-7870 | - |
dc.identifier.uri | http://hdl.handle.net/10722/245286 | - |
dc.description.abstract | For complete ultrahigh-dimensional data, sure independent screening methods can effectively reduce the dimensionality while retaining all the active variables with high probability. However, limited screening methods have been developed for ultrahigh-dimensional survival data subject to censoring. We propose a censored cumulative residual independent screening method that is model-free and enjoys the sure independent screening property. Active variables tend to be ranked above the inactive ones in terms of their association with the survival times. Compared with several existing methods, our model-free screening method works well with general survival models, and it is invariant to the monotone transformation of the responses, as well as requiring substantially weaker moment conditions. Numerical studies demonstrate the usefulness of the censored cumulative residual independent screening method, and the new approach is illustrated with a gene expression data set. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1380-7870 | - |
dc.relation.ispartof | Lifetime Data Analysis | - |
dc.subject | Cumulative residual | - |
dc.subject | Model-free screening | - |
dc.subject | Sure screening property | - |
dc.subject | Survival data | - |
dc.subject | Ultrahigh-dimensional data | - |
dc.title | Censored cumulative residual independent screening for ultrahigh-dimensional survival data | - |
dc.type | Article | - |
dc.identifier.email | Yin, G: gyin@hku.hk | - |
dc.identifier.authority | Yin, G=rp00831 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s10985-017-9395-2 | - |
dc.identifier.pmid | 28550654 | - |
dc.identifier.scopus | eid_2-s2.0-85019692674 | - |
dc.identifier.hkuros | 276196 | - |
dc.identifier.volume | 24 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 273 | - |
dc.identifier.epage | 292 | - |
dc.identifier.isi | WOS:000427392500004 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 1380-7870 | - |