When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts

BACKGROUND: Missing data may seriously compromise inferences from randomised clinical trials, especially if missing data are not handled appropriately. The potential bias due to missing data depends on the mechanism causing the data to be missing, and the analytical methods applied to amend the miss...

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Detalles Bibliográficos
Autores principales: Jakobsen, Janus Christian, Gluud, Christian, Wetterslev, Jørn, Winkel, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717805/
https://www.ncbi.nlm.nih.gov/pubmed/29207961
http://dx.doi.org/10.1186/s12874-017-0442-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717805/
https://www.ncbi.nlm.nih.gov/pubmed/29207961
http://dx.doi.org/10.1186/s12874-017-0442-1

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