Missing Data in Meta-Analysis is a methodological challenge in evidence synthesis that refers to the absence of required statistical or study-level information from individual studies included in a meta-analysis, thereby compromising the completeness and representativeness of the aggregated evidence.
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2017–2026
47
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150
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289
MRC Biostatistics Unit
Cambridge, United Kingdom
12 h-index
22 publications
2.9K citations
McMaster University
Hamilton, Canada
9 h-index
71 publications
5.9K citations
Iberoamerican Cochrane Centre
Barcelona, Spain
7 h-index
15 publications
1.1K citations
American University of Beirut
Beirut, Lebanon
7 h-index
12 publications
904 citations
University of Oxford
Oxford, United Kingdom
7 h-index
7 publications
1.6K citations
Inserm
Paris, France
7 h-index
14 publications
972 citations
University of Bern
Bern, Switzerland
6 h-index
13 publications
1K citations
University of London
London, United Kingdom
6 h-index
7 publications
4K citations
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- Journal of Clinical Epidemiology
15 publications · 5.3K citations
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- Statistics in Medicine
17 publications · 2.5K citations
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- Psychological Methods
6 publications · 717 citations
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- Research Synthesis Methods
6 publications · 136 citations
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- Statistical Methods in Medical Research
4 publications · 389 citations
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