Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level

Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level

Abstract Background Missing data can introduce bias in the results of randomised controlled trials (RCTs), but are typically unavoidable in pragmatic clinical research, especially when patient reported outcome measures (PROMs) are used. Traditionally applied to the composite PROMs score of multi-ite...

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Bibliographic Details
Main Authors: Ines Rombach, Alastair M. Gray, Crispin Jenkinson, David W. Murray, Oliver Rivero-Arias
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Medical Research Methodology
Subjects:
Missing data
Incomplete data
Questionnaires
Randomised controlled trials (RCTs)
Quality of life (QoL)
Domains
Online Access:http://link.springer.com/article/10.1186/s12874-018-0542-6

Internet

http://link.springer.com/article/10.1186/s12874-018-0542-6

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