Imputation Uncertainty
Imputation Uncertainty is the quantification of uncertainty arising from the estimation or substitution of missing data values in scientific datasets, distinguishing it from other forms of uncertainty by specifically characterizing the reliability of imputed values in the context of downstream visualization and analysis.
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8K
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521
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278
Institutions
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2017–2026
64
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Andrea Marshall, Douglas G. Altman, Roger Holder et al. · BMC Medical Research Methodology · 2009 · 885 citations · Full text
Multiple Imputation for Missing Data: Concepts and New Development
Yang Yuan · 2000 · 474 citations
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278

Chinese Academy of Sciences
Beijing, China
5 h-index
14 publications
883 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
15 publications
640 citations
University of Guelph
Guelph, Canada
3 h-index
6 publications
483 citations

University of Alberta
Edmonton, Canada
3 h-index
5 publications
225 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
7 publications
237 citations
University of Michigan
Ann Arbor, United States
3 h-index
9 publications
210 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
5 publications
117 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
3 publications
352 citations
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4 publications · 527 citations
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4 publications · 227 citations
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3 publications · 138 citations
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3 publications · 75 citations
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2 publications · 61 citations
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