The Use of Multiple Imputation to Handle Missing Data in Secondary Datasets: Suggested Approaches when Missing Data Results from the Survey Structure.
Secondary datasets are used in healthcare research because of its cost advantages, its convenience, and the size of the datasets. However, missing data can cause problems that are difficult to resolve. This manuscript reviews possible causes for missing data, and how to address them. Many researcher...
| Publicado en: | Inquiry (00469580) pp. 1 - 7 |
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| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
5/3/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |