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The proportion of missing data should not be used to guide decisions on multiple imputation
OBJECTIVES: Researchers are concerned whether multiple imputation (MI) or complete case analysis should be used when a large proportion of data are missing. We aimed to provide guidance for drawing conclusions from data with a large proportion of missingness. STUDY DESIGN AND SETTING: Via simulation...
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| Publicado no: | J Clin Epidemiol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6547017/ https://ncbi.nlm.nih.gov/pubmed/30878639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jclinepi.2019.02.016 |
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