Polytomous Response Models
Polytomous Response Models is a statistical modeling framework within the class of categorical regression models that specifically accommodates outcomes with more than two unordered or ordered response categories by extending binary response models to handle multiple discrete alternatives through appropriate link functions and parameterizations.
186
Publications
16.5K
Citations
334
Authors
180
Institutions
Publications per year
2017–2026
27
186
Analysis of Categorical Data by Linear Models
James E. Grizzle, C F Starmer, Gary G. Koch · Biometrics · 1969 · 1.5K citations
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Educational Testing Service
Princeton, United States
10 h-index
13 publications
2.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
17 publications
1.9K citations

Tilburg University
Tilburg, The Netherlands
6 h-index
6 publications
436 citations
University of Liège
Liège, Belgium
6 h-index
10 publications
424 citations
University of California, Berkeley
Berkeley, United States
6 h-index
10 publications
696 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
8 publications
213 citations

University of Toronto
Toronto, Canada
4 h-index
6 publications
127 citations
University of Miami
Coral Gables, United States
4 h-index
7 publications
240 citations
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17 publications · 3K citations
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12 publications · 748 citations
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6 publications · 293 citations
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6 publications · 1K citations
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6 publications · 217 citations
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