Bayesian Multilevel Meta-analysis
Bayesian Multilevel Meta-Analysis is a statistical framework for synthesizing effect sizes across multiple studies that incorporates hierarchical modeling structures and prior distributions to estimate parameters, accounting for both within- and between-study variability through Bayesian inference.
32
Publications
1.6K
Citations
126
Authors
81
Institutions
Publications per year
2017–2026
20
Parents
32
Meta‐analysis of continuous outcome data from individual patients
Julian P. T. Higgins, Anne Whitehead, Rebecca Turner et al. · Statistics in Medicine · 2001 · 270 citations
Behavioral Programs for Type 2 Diabetes Mellitus
Jennifer Pillay, Marni J. Armstrong, Sonia Butalia et al. · Annals of Internal Medicine · 2015 · 222 citations
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81
University College London
London, United Kingdom
3 h-index
7 publications
200 citations
MRC Clinical Trials Unit at UCL
London, United Kingdom
2 h-index
2 publications
311 citations

McGill University
Montreal, Canada
2 h-index
6 publications
123 citations

University of Leicester
Leicester, United Kingdom
2 h-index
4 publications
230 citations

University of London
London, United Kingdom
2 h-index
6 publications
159 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
2 h-index
3 publications
769 citations
Heidelberg University
Heidelberg, Germany
2 h-index
3 publications
65 citations
Universidad de Londres
Mexico City, Mexico
2 h-index
6 publications
159 citations
1–8 of 81
3 publications · 286 citations
3
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2 publications · 183 citations
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2 publications · 50 citations
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1 publications · 44 citations
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1 publications · 10 citations
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