Missing Data Inference
Missing Data Inference is a statistical methodology within the broader class of inferential techniques that specifically addresses the problem of drawing valid conclusions from incomplete datasets by formally modeling the mechanisms underlying data absence and incorporating uncertainty due to missingness into the inferential process.
1.2K
Publications
129K
Citations
2.3K
Authors
978
Institutions
Publications per year
2017–2026
273
1.2K
Donald B. Rubin · Biometrika · 1976 · 9.7K citations
Analysis of Incomplete Multivariate Data
David E. Booth, Joseph L. Schafer · Technometrics · 2000 · 5.7K citations
The EM Algorithm and Extensions
Debashis Kushary, Geoffrey J. McLachlan, Thriyambakam Krishnan · Technometrics · 1998 · 5.1K citations
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London School of Hygiene & Tropical Medicine, United Kingdom
24 publications · 4.1K citations
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London School of Hygiene & Tropical Medicine, United Kingdom
20 publications · 1.9K citations
18
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978
Harvard University
Cambridge, United States
29 h-index
107 publications
7.9K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
27 h-index
69 publications
9.9K citations
University of Michigan
Ann Arbor, United States
26 h-index
71 publications
9.6K citations
University of Pennsylvania
Philadelphia, United States
21 h-index
48 publications
5.7K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
21 h-index
42 publications
6.6K citations
University of California, Los Angeles
Los Angeles, United States
21 h-index
41 publications
3.6K citations
University of Washington
Seattle, United States
18 h-index
28 publications
4K citations
MRC Clinical Trials Unit at UCL
London, United Kingdom
16 h-index
29 publications
3.5K citations
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92 publications · 12.2K citations
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89 publications · 5.2K citations
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53 publications · 3.9K citations
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35 publications · 13.8K citations
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Repository · 28 publications · 1.3K citations
18
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