Fraction Of Missing Information
Fraction of Missing Information is a statistical metric that quantifies the proportion of total variance in a parameter estimate attributable to missing data, distinguishing it from other measures of missingness by specifically reflecting the efficiency loss due to incomplete observations in the context of multiple imputation or likelihood-based inference.
35
Publications
4.6K
Citations
83
Authors
48
Institutions
Publications per year
2017–2026
6
Variants
Fmi
Parents
35
Miscellanea. Small-sample degrees of freedom with multiple imputation
John Barnard · Biometrika · 1999 · 809 citations
Donald B. Rubin · Journal of the American Statistical Association · 1987 · 428 citations
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48

Carleton University
Ottawa, Canada
4 h-index
6 publications
589 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
2 publications
94 citations

Portland State University
Portland, United States
2 h-index
2 publications
634 citations
Technical University of Munich
Munich, Germany
2 h-index
4 publications
188 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
251 citations

Guangxi Normal University
Guilin, China
1 h-index
1 publications
15 citations
Écologie Fonctionnelle et Écotoxicologie des Agroécosystèmes
Palaiseau, France
1 h-index
6 publications
60 citations
University of California, Irvine
Irvine, United States
1 h-index
2 publications
168 citations
1–8 of 48
4 publications · 1.1K citations
4
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SEM · 3 publications · 731 citations
3
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2 publications · 27 citations
2
h-index
2 publications · 53 citations
2
h-index
2 publications · 679 citations
2
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1–5