Random Intercepts Models
Random Intercepts Model is a type of multilevel model that belongs to the class of mixed-effects models and is distinguished by allowing the intercept to vary randomly across groups, thereby accounting for heterogeneity in baseline levels while assuming common fixed slopes for predictors.
256
Publications
19K
Citations
1.3K
Authors
663
Institutions
Publications per year
2017–2026
144
Variants
Random Intercept Models
Parents
256
Balancing Type I error and power in linear mixed models
Hannes Matuschek, Reinhold Kliegl, Shravan Vasishth et al. · Journal of Memory and Language · 2017 · 2K citations · Full text
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Leibniz Institute for Science and Mathematics Education, Germany
2 publications · 303 citations
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Liverpool School of Tropical Medicine, United Kingdom
2 publications · 75 citations
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663
Harvard University
Cambridge, United States
15 h-index
69 publications
3.5K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
10 h-index
19 publications
554 citations
University College London
London, United Kingdom
7 h-index
23 publications
1K citations
University of California San Diego
San Diego, United States
6 h-index
16 publications
343 citations
University of Michigan
Ann Arbor, United States
6 h-index
12 publications
3.3K citations
University of Wisconsin–Madison
Madison, United States
6 h-index
12 publications
2.5K citations
Ludwig-Maximilians-Universität München
Munich, Germany
5 h-index
5 publications
176 citations
KU Leuven
Leuven, Belgium
5 h-index
13 publications
934 citations
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6 publications · 134 citations
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5 publications · 203 citations
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5 publications · 88 citations
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4 publications · 405 citations
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3 publications · 306 citations
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