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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Detalles Bibliográficos
Autores principales: Biering, Karin, Hjollund, Niels Henrik, Frydenberg, Morten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303367/
https://www.ncbi.nlm.nih.gov/pubmed/25653557
http://dx.doi.org/10.2147/CLEP.S72247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4303367/
https://www.ncbi.nlm.nih.gov/pubmed/25653557
http://dx.doi.org/10.2147/CLEP.S72247

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