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A nonparametric multiple imputation approach for missing categorical data
BACKGROUND: Incomplete categorical variables with more than two categories are common in public health data. However, most of the existing missing-data methods do not use the information from nonresponse (missingness) probabilities. METHODS: We propose a nearest-neighbour multiple imputation approac...
Tallennettuna:
| Julkaisussa: | BMC Med Res Methodol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5461637/ https://ncbi.nlm.nih.gov/pubmed/28587662 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0360-2 |
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