A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data

A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data

Abstract Background Missing data are common in randomised controlled trials (RCTs) and can bias results if not handled appropriately. A statistically valid analysis under the primary missing-data assumptions should be conducted, followed by sensitivity analysis under alternative justified assumption...

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Bibliographic Details
Main Authors: Ping-Tee Tan, Suzie Cro, Eleanor Van Vogt, Matyas Szigeti, Victoria R. Cornelius
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Research Methodology
Subjects:
Controlled multiple imputation
Randomised controlled trials
Missing data
Sensitivity analysis
Multiple imputation
Online Access:https://doi.org/10.1186/s12874-021-01261-6

Internet

https://doi.org/10.1186/s12874-021-01261-6

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