Bivariate Mixed Model Analysis
Bivariate Mixed Model Analysis is a statistical method that extends univariate mixed models to jointly analyze two traits by estimating their genetic and environmental variance components and covariances using random effects structures in a multivariate framework.
66
Publications
4.4K
Citations
251
Authors
136
Institutions
Publications per year
2017–2026
15
Parents
66
Systematic Reviews of Diagnostic Test Accuracy
Mariska Leeflang, Jonathan J Deeks, Constantine Gatsonis et al. · Annals of Internal Medicine · 2008 · 1.1K citations · Full text
A Multilevel Analysis of School Examination Results
Harvey Goldstein, Jon Rasbash, Min Yang et al. · Oxford Review of Education · 1993 · 183 citations
Education, Educational Assessment, Educational Measurement +14
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136
Inserm
Paris, France
3 h-index
12 publications
817 citations
KU Leuven
Leuven, Belgium
3 h-index
7 publications
644 citations
Dana-Farber Cancer Institute
Boston, United States
3 h-index
7 publications
587 citations
University of California San Diego
San Diego, United States
2 h-index
3 publications
208 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
2 h-index
3 publications
151 citations

Washington University in St. Louis
St Louis, United States
2 h-index
11 publications
161 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
2 h-index
2 publications
343 citations

McMaster University
Hamilton, Canada
2 h-index
4 publications
132 citations
1–8 of 136
5 publications · 626 citations
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3 publications · 322 citations
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3 publications · 90 citations
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3 publications · 289 citations
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JBS · 2 publications · 100 citations
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