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How handling missing data may impact conclusions: A comparison of six different imputation methods for categorical questionnaire data
OBJECTIVES: Missing data is a recurrent issue in many fields of medical research, particularly in questionnaires. The aim of this article is to describe and compare six conceptually different multiple imputation methods, alongside the commonly used complete case analysis, and to explore whether the...
Tallennettuna:
| Julkaisussa: | SAGE Open Med |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
SAGE Publications
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6329020/ https://ncbi.nlm.nih.gov/pubmed/30671242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2050312118822912 |
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