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Efficient sparse estimation on interval-censored data with approximated L0 norm: Application to child mortality
A novel penalty for the proportional hazards model under the interval-censored failure time data structure is discussed, with which the subject of variable selection is rarely studied. The penalty comes from an idea to approximate some information criterion, e.g., the BIC or AIC, and the core proces...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8034720/ https://ncbi.nlm.nih.gov/pubmed/33836005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0249359 |
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