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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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| Publicado en: | PLoS One |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | 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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