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

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

Abstract 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...

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Bibliographic Details
Main Authors: Janus Christian Jakobsen, Christian Gluud, Jørn Wetterslev, Per Winkel
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Medical Research Methodology
Subjects:
Missing data
Randomised clinical trials
Multiple imputation
Online Access:http://link.springer.com/article/10.1186/s12874-017-0442-1

Internet

http://link.springer.com/article/10.1186/s12874-017-0442-1

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