Multiple Imputation Diagnostics
Multiple Imputation Diagnostics is a methodological framework used to assess the validity, convergence, and reliability of imputed datasets by evaluating the consistency and plausibility of multiple imputations relative to the observed data and underlying missingness assumptions.
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3.4K
Citations
373
Authors
132
Institutions
Publications per year
2017–2026
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Samantha Johnson, Enid Hennessy, Rhodine Smith et al. · Archives of Disease in Childhood Fetal & Neonatal · 2009 · 355 citations
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132
Columbia University
New York, United States
7 h-index
11 publications
1.6K citations
Harvard University
Cambridge, United States
5 h-index
5 publications
394 citations

Harvard University Press
Cambridge, United States
3 h-index
3 publications
236 citations
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
126 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
691 citations
University College London
London, United Kingdom
2 h-index
6 publications
865 citations

Pennsylvania State University
State College, United States
2 h-index
2 publications
210 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
2 h-index
5 publications
285 citations
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4 publications · 370 citations
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2 publications · 92 citations
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AJE · 2 publications · 345 citations
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Repository · 2 publications · 47 citations
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1 publications · 36 citations
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