Longitudinal Ordinal Data Analysis is a statistical methodology within the class of longitudinal data analytic techniques that specifically addresses the modeling and inference of ordered categorical outcomes measured repeatedly over time, distinguishing itself by accounting for both the ordinal nature of the response variable and the within-subject correlation structure inherent in repeated measures.
75
Publications
4K
Citations
179
Authors
130
Institutions
Publications per year
2017–2026
8
Parents
Publications
75
A mixed‐effects multinomial logistic regression model
Donald Hedeker · Statistics in Medicine · 2003 · 372 citations
Business, Psychiatry, Homelessness +16
1–5 of 75
Authors
179
- GM
10
h-index
- DH
7
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- EL
4
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- MJ
3
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- GV
3
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1–5 of 179
Institutions
130
University of Illinois Chicago
Chicago, United States
7 h-index
12 publications
1.5K citations
KU Leuven
Leuven, Belgium
6 h-index
8 publications
463 citations
University of Florida
Gainesville, United States
4 h-index
6 publications
410 citations
Hasselt University
Hasselt, Belgium
4 h-index
6 publications
99 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
4 publications
108 citations
Shahid Beheshti University
Tehran, Iran
3 h-index
7 publications
87 citations
Chicago Department of Public Health
Chicago, United States
3 h-index
4 publications
1.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
3 publications
83 citations
1–8 of 130
Venues
- Statistics in Medicine
18 publications · 1.3K citations
15
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- Journal of the American Statistical Association
8 publications · 507 citations
8
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- Biometrics
7 publications · 1K citations
7
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- Statistical Methods in Medical Research
4 publications · 72 citations
4
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- Statistical Modelling
3 publications · 85 citations
3
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1–5