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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751511/ https://www.ncbi.nlm.nih.gov/pubmed/26868061 http://dx.doi.org/10.1038/srep21689 |