Rubin's Rules
Rubin's Rules is a statistical framework for multiple imputation that specifies the method for combining parameter estimates and their variances across imputed datasets to produce valid inferential results in the analysis of incomplete data.
74
Publications
36.1K
Citations
195
Authors
139
Institutions
Publications per year
2017–2026
20
Variants
Rubin's Combination Rules
Parents
74
1–5 of 74
195
7
h-index
6
h-index
London School of Hygiene & Tropical Medicine, United Kingdom
4 publications · 7.5K citations
4
h-index
3
h-index
3
h-index
1–5 of 195
139
MRC Clinical Trials Unit at UCL
London, United Kingdom
10 h-index
12 publications
21.6K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
7 h-index
9 publications
18.1K citations
University College London
London, United Kingdom
6 h-index
9 publications
11.6K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
6 h-index
19 publications
17.6K citations

University of London
London, United Kingdom
4 h-index
5 publications
16K citations

The University of Melbourne
Melbourne, Australia
3 h-index
4 publications
7.9K citations
University of Illinois Chicago
Chicago, United States
3 h-index
3 publications
95 citations
Murdoch Children's Research Institute
Melbourne, Australia
3 h-index
4 publications
7.9K citations
1–8 of 139
4 publications · 10.2K citations
4
h-index
4 publications · 2.8K citations
4
h-index
3 publications · 1K citations
3
h-index
3 publications · 389 citations
3
h-index
BRM · 2 publications · 53 citations
2
h-index
1–5