Missing At Random Assumption
The Missing At Random Assumption is a statistical assumption that classifies the missingness mechanism by stipulating that, conditional on the observed data, the probability of missing values depends only on fully observed variables and not on the unobserved data.
137
Publications
9.3K
Citations
325
Authors
191
Institutions
Publications per year
2017–2026
33
Variants
Mar Assumption
Parents
137
1–5 of 137
325
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h-index
London School of Hygiene & Tropical Medicine, United Kingdom
6 publications · 289 citations
6
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London School of Hygiene & Tropical Medicine, United Kingdom
4 publications · 263 citations
4
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4
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Kaiser Permanente Washington Health Research Institute, United States
3 publications · 179 citations
3
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1–5 of 325
191
London School of Hygiene & Tropical Medicine
London, United Kingdom
12 h-index
23 publications
1.5K citations
Harvard University
Cambridge, United States
10 h-index
18 publications
1.1K citations
University College London
London, United Kingdom
9 h-index
22 publications
1.6K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
9 h-index
17 publications
1.5K citations
MRC Clinical Trials Unit at UCL
London, United Kingdom
6 h-index
8 publications
360 citations

University of Bristol
Bristol, United Kingdom
5 h-index
8 publications
445 citations
University of Oxford
Oxford, United Kingdom
4 h-index
5 publications
263 citations
Iowa State University
Ames, United States
3 h-index
4 publications
212 citations
1–8 of 191
13 publications · 1.4K citations
12
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9 publications · 676 citations
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9 publications · 908 citations
9
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8 publications · 551 citations
8
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8 publications · 341 citations
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