Multilevel Meta-analysis
Multilevel Meta-Analysis is a statistical methodology within the broader class of meta-analytic techniques that accounts for hierarchical dependencies in effect sizes by modeling variation at multiple levels, such as within- and between-study heterogeneity, through the incorporation of random effects at each level.
297
Publications
45.8K
Citations
685
Authors
374
Institutions
Publications per year
2017–2026
110
Parents
297
1–5 of 297
685
15
h-index
University at Albany, State University of New York, United States
11 publications · 610 citations
11
h-index
10
h-index
7
h-index
7
h-index
1–5 of 685
374
KU Leuven
Leuven, Belgium
15 h-index
46 publications
5.5K citations
University of South Florida
Tampa, United States
11 h-index
17 publications
2.1K citations
The University of Texas at Austin
Austin, United States
10 h-index
12 publications
1.8K citations
University at Albany, State University of New York
Albany, United States
9 h-index
15 publications
737 citations

University of Bristol
Bristol, United Kingdom
9 h-index
18 publications
10K citations
Northwestern University
Evanston, United States
7 h-index
12 publications
710 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
7 h-index
12 publications
2.7K citations

UNSW Sydney
Sydney, Australia
7 h-index
23 publications
3.4K citations
1–8 of 374
14 publications · 2.1K citations
14
h-index
10 publications · 796 citations
10
h-index
9 publications · 4.6K citations
9
h-index
8 publications · 742 citations
8
h-index
BRM · 7 publications · 1.6K citations
6
h-index
1–5