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Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes
OBJECTIVE: Missing data is a ubiquitous problem in studies using patient-reported measures, decreasing sample sizes and causing possible bias. In longitudinal studies, special problems relate to attrition and death during follow-up. We describe a methodological approach for the use of multiple imput...
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| Publicado no: | Clin Epidemiol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Dove Medical Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4303367/ https://ncbi.nlm.nih.gov/pubmed/25653557 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/CLEP.S72247 |
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