Mixed-effects Meta-regression
Mixed-Effects Meta-Regression is a statistical technique within meta-analytic methods that models the relationship between effect sizes and moderator variables by incorporating both fixed effects (systematic variation due to moderators) and random effects (residual heterogeneity across studies) to account for within- and between-study variability.
56
Publications
7.6K
Citations
374
Authors
171
Institutions
Publications per year
2017–2026
27
Parents
56
1–5 of 56
374
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h-index
London School of Hygiene & Tropical Medicine, United Kingdom
2 publications · 403 citations
2
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2
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2
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1–5 of 374
171

University of Bristol
Bristol, United Kingdom
5 h-index
11 publications
4.7K citations
University of Washington
Seattle, United States
3 h-index
122 publications
16.4K citations
Columbia University
New York, United States
3 h-index
5 publications
884 citations

Vanderbilt University
Nashville, United States
3 h-index
7 publications
4.3K citations

University of Manchester
Manchester, United Kingdom
2 h-index
3 publications
179 citations
University Medical Center Utrecht
Utrecht, The Netherlands
2 h-index
3 publications
1.8K citations

Australian National University
Canberra, Australia
2 h-index
2 publications
114 citations

The University of Sydney
Sydney, Australia
2 h-index
2 publications
114 citations
1–8 of 171
5 publications · 1.1K citations
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5 publications · 688 citations
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4 publications · 1.2K citations
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Repository · 3 publications · 245 citations
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2 publications · 377 citations
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