Multivariable Mendelian Randomization is a statistical method in causal inference that extends the standard Mendelian Randomization framework by estimating the direct effects of multiple genetically correlated exposures on an outcome simultaneously, using genetic variants associated with all exposures as instrumental variables.
325
Publications
21.7K
Citations
2.3K
Authors
900
Institutions
Publications per year
2017–2026
300
Variants
Mvmr
Publications
325
Tom G. Richardson, Eleanor Sanderson, Tom Palmer et al. · PLoS Medicine · 2020 · 929 citations · Full text
Medicine, Cardiology, Genetics +14
1–5 of 325
Authors
2.3K
- GD
28
h-index
- SB
23
h-index
- ES
18
h-index
- DG
16
h-index
- TG
13
h-index
1–5 of 2.3K
Institutions
900
University of Bristol
Bristol, United Kingdom
37 h-index
235 publications
35.8K citations
University of Cambridge
Cambridge, United Kingdom
25 h-index
106 publications
11.9K citations
MRC Biostatistics Unit
Cambridge, United Kingdom
21 h-index
54 publications
4.9K citations
Imperial College London
London, United Kingdom
20 h-index
53 publications
4K citations
MRC Epidemiology Unit
Cambridge, United Kingdom
20 h-index
74 publications
12.5K citations
University of Hong Kong
Pok Fu Lam, Hong Kong
17 h-index
57 publications
3.4K citations
Harvard University
Cambridge, United States
17 h-index
54 publications
4.2K citations
University of Copenhagen
Copenhagen, Denmark
16 h-index
49 publications
3.8K citations
1–8 of 900
Venues
- International Journal of Epidemiology
17 publications · 2.3K citations
17
h-index
- The Journal of Clinical Endocrinology & Metabolism
JCEM · 10 publications · 420 citations
10
h-index
- Journal of the American Heart Association
JAHA · 10 publications · 487 citations
9
h-index
- Frontiers in Immunology
8 publications · 208 citations
8
h-index
- Frontiers in Genetics
8 publications · 304 citations
8
h-index
1–5