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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...

詳細記述

保存先:
書誌詳細
出版年:BMC Med Res Methodol
主要な著者: Jakobsen, Janus Christian, Gluud, Christian, Wetterslev, Jørn, Winkel, Per
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2017
主題:
オンライン・アクセス: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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