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Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data
Multiple imputation (MI) has been widely used for handling missing data in biomedical research. In the presence of high-dimensional data, regularized regression has been used as a natural strategy for building imputation models, but limited research has been conducted for handling general missing da...
Gorde:
| Argitaratua izan da: | Sci Rep |
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| Egile Nagusiak: | , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Publishing Group
2016
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4751511/ https://ncbi.nlm.nih.gov/pubmed/26868061 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep21689 |
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