Hierarchical Log-Linear Models is a statistical model for multivariate categorical data that belongs to the class of log-linear models and is distinguished by the constraint that the inclusion of a higher-order interaction term implies the inclusion of all its lower-order marginal and conditional associations.
124
Publications
46.5K
Citations
303
Authors
165
Institutions
Publications per year
2017–2026
15
Parents
Publications
124
Nonnormaland Categorical Data in Structural Equation Modeling
Sara J. Finney · 2013 · 1.8K citations
Hierarchical linear models applications and data analysis methods
2002 · 1.6K citations
1–5 of 124
Authors
303
- JR
5
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- WA
5
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- JA
3
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- WD
3
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- SW
3
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1–5 of 303
Institutions
165
United States Geological Survey
Reston, United States
5 h-index
16 publications
2.7K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
7 publications
574 citations
Eastern Illinois University
Charleston, United States
3 h-index
3 publications
134 citations
University of Chicago
Chicago, United States
3 h-index
5 publications
440 citations
Institute of Statistical Science, Academia Sinica
Taipei, Taiwan
2 h-index
8 publications
96 citations
Czech Academy of Sciences
Prague, Czechia
2 h-index
2 publications
186 citations
Michigan State University
East Lansing, United States
2 h-index
3 publications
129 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
423 citations
1–8 of 165
Venues
- Journal of the American Statistical Association
11 publications · 18.4K citations
10
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- Biometrika
7 publications · 511 citations
7
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- PubMed
Repository · 3 publications · 87 citations
3
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- Journal of Data Science
3 publications · 42 citations
3
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- Contemporary Sociology A Journal of Reviews
2 publications · 18.9K citations
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1–5