Participant-level Modeling
Participant-Level Modeling is a statistical methodology that belongs to the class of individual participant data meta-analysis techniques, specifically characterized by the direct modeling of raw data from each participant across multiple studies to estimate pooled effects while accounting for within- and between-study heterogeneity.
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487
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278
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2017–2026
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Erika Ikeda, Tom Stewart, Victoria Egli et al. · Journal of Transport & Health · 2018 · 162 citations · Full text
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Harvard University
Cambridge, United States
5 h-index
18 publications
495 citations
Stanford University
Stanford, United States
5 h-index
10 publications
545 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
6 publications
259 citations
University of Southern California
Los Angeles, United States
4 h-index
15 publications
209 citations
University of Bern
Bern, Switzerland
3 h-index
8 publications
253 citations
Yale University
New Haven, United States
3 h-index
13 publications
820 citations
Massachusetts General Hospital
Boston, United States
3 h-index
3 publications
72 citations

University of Glasgow
Glasgow, United Kingdom
3 h-index
13 publications
472 citations
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6 publications · 272 citations
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5 publications · 274 citations
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4 publications · 210 citations
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3 publications · 81 citations
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2 publications · 93 citations
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