Variance Component Identifiability
Variance Component Identifiability is a statistical property that determines whether the distinct sources of variability in a hierarchical or mixed-effects model can be uniquely estimated from the observed data, ensuring that different parameter values yield distinguishable joint distributions of the observations.
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2017–2026
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Variants
Variance Components Identifiability
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Variance component model to account for sample structure in genome-wide association studies
Hyun Min Kang, Jae Hoon Sul, Susan K. Service et al. · Nature Genetics · 2010 · 3.1K citations · Full text
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Centro Científico Tecnológico - San Juan
San Juan, Argentina
1 h-index
1 publications
34 citations
University of Chicago Medical Center
Chicago, United States
1 h-index
2 publications
150 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
3 publications
39 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
3.1K citations
Hospital Universitário da Universidade de São Paulo
São Paulo, Brazil
1 h-index
3 publications
39 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
5 publications
15.3K citations
Barcelona School of Economics
Barcelona, Spain
1 h-index
1 publications
205 citations
North Carolina State University
Raleigh, United States
1 h-index
1 publications
12 citations
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1 publications · 15 citations
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1 publications · 34 citations
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