Statistical Modeling
Statistical modeling is a quantitative method that constructs mathematical representations of relationships among variables in data to facilitate inference, parameter estimation, and prediction.
43.9K
Publications
5.4M
Citations
61.7K
Authors
9.5K
Institutions
Publications per year
2017–2026
9K
43.9K
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
1–5 of 43.9K
61.7K
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49
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University of California, Los Angeles, United States
77 publications · 176.4K citations
48
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47
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44
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1–5 of 61.7K
9.5K
Stanford University
Stanford, United States
113 h-index
605 publications
129.7K citations
University of California, Berkeley
Berkeley, United States
108 h-index
645 publications
90.6K citations
University of Washington
Seattle, United States
104 h-index
579 publications
96.8K citations
University of Wisconsin–Madison
Madison, United States
102 h-index
646 publications
177.2K citations
University of California, Los Angeles
Los Angeles, United States
100 h-index
466 publications
249.8K citations

University of Minnesota
Minneapolis, United States
98 h-index
576 publications
67.8K citations
Harvard University
Cambridge, United States
97 h-index
566 publications
236.3K citations
University of Chicago
Chicago, United States
97 h-index
379 publications
74.4K citations
1–8 of 9.5K
2.3K publications · 513.9K citations
306
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1.1K publications · 317K citations
216
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684 publications · 137.7K citations
165
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583 publications · 261.6K citations
160
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694 publications · 180.9K citations
149
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