Multinomial Longitudinal Models
Multinomial Longitudinal Models is a statistical modeling framework that extends generalized linear models to analyze repeated categorical outcomes over time by accounting for within-subject correlation and modeling transitions across multiple nominal categories.
368
Publications
18.4K
Citations
1.6K
Authors
759
Institutions
Publications per year
2017–2026
166
368
Emma Fulu, Rachel Jewkes, Tim Roselli et al. · The Lancet Global Health · 2013 · 523 citations · Full text
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California State University, San Bernardino, United States
6 publications · 630 citations
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University of North Carolina at Charlotte, United States
6 publications · 133 citations
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University College London
London, United Kingdom
13 h-index
41 publications
1.2K citations
Harvard University
Cambridge, United States
11 h-index
26 publications
719 citations
University of Michigan
Ann Arbor, United States
11 h-index
19 publications
947 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
24 publications
1.2K citations

Johns Hopkins University
Baltimore, United States
10 h-index
19 publications
977 citations

University of Bristol
Bristol, United Kingdom
9 h-index
24 publications
1K citations

The University of Queensland
Brisbane, Australia
7 h-index
17 publications
460 citations
South African Medical Research Council
Cape Town, South Africa
7 h-index
27 publications
1.4K citations
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12 publications · 345 citations
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9 publications · 420 citations
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9 publications · 150 citations
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8 publications · 721 citations
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7 publications · 249 citations
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