A comparison of imputation methods for categorical data
Objectives: Missing data is commonplace in clinical databases, which are being increasingly used for research. Without giving any regard to missing data, results from analysis may become biased and unrepresentative. Clinical databases contain mainly categorical variables. This study aims to assess t...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2023-01-01
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| Collection: | Informatics in Medicine Unlocked |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2352914823002289 |
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