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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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| 出版年: | JMIR Med Inform |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
JMIR Publications
2018
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| 主題: | |
| オンライン･アクセス: | 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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