Dependency Structure Modeling
Dependency Structure Modeling is a statistical framework within multilevel meta-analysis that specifies the hierarchical and correlated nature of effect sizes by formally representing the nested or cross-classified relationships among effect size estimates, thereby distinguishing it from conventional meta-analytic models that assume independence.
333
Publications
17.8K
Citations
863
Authors
373
Institutions
Publications per year
2017–2026
87
Parents
333
Using dependency models to manage complex software architecture
Neeraj Sangal, Ev Jordan, Vineet Sinha et al. · 2005 · 371 citations
1–5 of 333
863
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University of Illinois Urbana-Champaign, United States
5 publications · 171 citations
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5
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5
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4
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373
Carnegie Mellon University
Pittsburgh, United States
12 h-index
34 publications
1.6K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
20 publications
1.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
21 publications
978 citations
ETH Zurich
Zurich, Switzerland
7 h-index
11 publications
813 citations
Stanford University
Stanford, United States
7 h-index
26 publications
2.1K citations
University of California, Berkeley
Berkeley, United States
7 h-index
21 publications
1.1K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
7 publications
310 citations

Harbin Institute of Technology
Harbin, China
5 h-index
6 publications
409 citations
1–8 of 373
Repository · 23 publications · 866 citations
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Repository · 5 publications · 416 citations
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Conference · 4 publications · 231 citations
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Repository · 4 publications · 165 citations
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3 publications · 375 citations
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