Hierarchical Meta-analysis
Hierarchical Meta-Analysis is a statistical framework within multilevel meta-analysis that models effect sizes as nested within studies and accounts for dependencies among effect sizes through random effects at multiple levels.
118
Publications
11.4K
Citations
330
Authors
217
Institutions
Publications per year
2017–2026
44
118
Three-level meta-analysis of dependent effect sizes
Wim Van Den Noortgate, José A López-López, Fulgencio Marín‐Martínez et al. · Behavior Research Methods · 2012 · 1K citations · Full text
Marshall Burke, Solomon Hsiang, Edward Miguel · Annual Review of Economics · 2015 · 604 citations
1–5 of 118
330
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h-index
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University at Albany, State University of New York, United States
5 publications · 137 citations
5
h-index
3
h-index
3
h-index
1–5 of 330
217
KU Leuven
Leuven, Belgium
6 h-index
15 publications
3K citations
University at Albany, State University of New York
Albany, United States
5 h-index
9 publications
240 citations

Monash University
Melbourne, Australia
4 h-index
5 publications
177 citations
Columbia University
New York, United States
3 h-index
5 publications
195 citations

University of Bristol
Bristol, United Kingdom
3 h-index
3 publications
597 citations

University of Greenwich
London, United Kingdom
3 h-index
5 publications
189 citations

University of Leicester
Leicester, United Kingdom
3 h-index
7 publications
280 citations

University of Minnesota
Minneapolis, United States
3 h-index
5 publications
461 citations
1–8 of 217
10 publications · 1.2K citations
10
h-index
4 publications · 285 citations
4
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4 publications · 120 citations
4
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4 publications · 573 citations
4
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2 publications · 233 citations
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