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Multiple imputation to deal with missing EQ-5D-3L data: Should we impute individual domains or the actual index?

Abstract:

PURPOSE: Missing data are a well-known and widely documented problem in cost-effectiveness analyses alongside clinical trials using individual patient-level data. Current methodological research recommends multiple imputation (MI) to deal with missing health outcome data, but there is little guidance on whether MI for multi-attribute questionnaires, such as the EQ-5D-3L, should be carried out at domain or at summary score level. In this paper, we evaluated the impact of imputing individual do...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11136-014-0837-y

Authors


Simons, CL More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Population Health
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care Health Sciences
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Population Health
Publisher:
Springer International Publishing Publisher's website
Journal:
Quality of Life Research Journal website
Volume:
24
Issue:
4
Pages:
805-815
Publication date:
2015-04-05
DOI:
EISSN:
1573-2649
ISSN:
0962-9343
URN:
uuid:e8dbd58f-f70f-41b8-92f4-c55bf543ca74
Source identifiers:
493506
Local pid:
pubs:493506

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