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Allowing for uncertainty due to missing and LOCF imputed outcomes in meta‐analysis

Abstract:

The use of the last observation carried forward (LOCF) method for imputing missing outcome data in randomized clinical trials has been much criticized and its shortcomings are well understood. However, only recently have published studies widely started using more appropriate imputation methods. Consequently, meta‐analyses often include several studies reporting their results according to LOCF. The results from such meta‐analyses are potentially biased and overprecise. We develop methods for ...

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

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Publisher copy:
10.1002/sim.8009

Authors


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ORCID:
0000-0003-1041-4592
Salanti, G More by this author
Furukawa, TA More by this author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
ORCID:
0000-0001-5179-8321
Chaimani, A More by this author
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Grant:
COMPAR-EU No 754936
Publisher:
Wiley Publisher's website
Journal:
Statistics in Medicine Journal website
Volume:
38
Issue:
5
Pages:
720-737
Publication date:
2018-10-22
Acceptance date:
2018-09-27
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
Pubs id:
pubs:936698
URN:
uri:8454faa4-348c-4e6b-9e3f-625124a7df8e
UUID:
uuid:8454faa4-348c-4e6b-9e3f-625124a7df8e
Local pid:
pubs:936698

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