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Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing Data
Missing data are common in medical and social science studies and often pose a serious challenge in data analysis. Multiple imputation methods are popular and natural tools for handling missing data, replacing each missing value with a set of plausible values that represent the uncertainty about the...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2012
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3280694/ https://ncbi.nlm.nih.gov/pubmed/22347786 |
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