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Applying multiple imputation to multi-item patient reported outcome measures: advantages and disadvantages of imputing at the item, sub-scale or score level

Abstract:

Missing data are generally unavoidable in clinical trials (RCTs), particularly in patient reported outcome measures (PROMs) and can introduce bias into the study results. Multiple imputation (MI) is considered to be one of the most reliable methods to handle this problem.

Traditionally applied to the full PROMs score of multi-item instruments, some recent research suggests that MI at the item level may be preferable under certain scenarios.

We present practical guidance on th...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1186/s12955-016-0540-5

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health
Publisher:
BioMed Central Publisher's website
Publication date:
2016-10-05
DOI:
ISSN:
1477-7525
Pubs id:
pubs:734968
URN:
uri:d853f979-d8e2-487d-b9d7-9abb6ef27ebf
UUID:
uuid:d853f979-d8e2-487d-b9d7-9abb6ef27ebf
Local pid:
pubs:734968

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