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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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Bibliografski detalji
Izdano u:BMC Med Res Methodol
Glavni autori: Jakobsen, Janus Christian, Gluud, Christian, Wetterslev, Jørn, Winkel, Per
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2017
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5717805/
https://ncbi.nlm.nih.gov/pubmed/29207961
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0442-1
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