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

Christian Jakobsen, Janus; Gluud, Christian; Wetterslev, Jørn; Winkel, Per

doi:10.1186/s12874-017-0442-1

Public

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

Published in BMC Medical Research Methodology • Dec 1, 2017

Authors:

Janus Christian Jakobsen

Christian Gluud

Jørn Wetterslev

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 the miss...

Subject

Missing data

Imputation (statistics)

Computer science

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