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Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis
BACKGROUND: Missing data is a challenge for all studies; however, this is especially true for electronic health record (EHR)-based analyses. Failure to appropriately consider missing data can lead to biased results. While there has been extensive theoretical work on imputation, and many sophisticate...
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| Veröffentlicht in: | JMIR Med Inform |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
JMIR Publications
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5845101/ https://ncbi.nlm.nih.gov/pubmed/29475824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.8960 |
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