Ordinal Regression Models

Ordinal Regression Models is a type of regression model that belongs to the class of statistical methods for predicting categorical outcomes, specifically distinguished by its application to ordinal response variables where the categories exhibit a natural, meaningful order.

1.2K

Publications

96.6K

Citations

6.9K

Authors

1.9K

Institutions

Publications per year

2017–2026

510

Variants

Ordinal Regression Model

Authors

6.9K

  1. SG
    Salvatore Greco

    University of Catania, Italy

    17 publications · 1.8K citations

    16

    h-index

  2. RS
    Roman Słowiński

    Poznań University of Technology, Poland

    13 publications · 1.5K citations

    13

    h-index

  3. MK
    Miłosz Kadziński

    Poznań University of Technology, Poland

    12 publications · 799 citations

    12

    h-index

  4. AA
    Alan Agresti

    University of Florida, United States

    10 publications · 2.8K citations

    10

    h-index

  5. SC
    Salvatore Corrente

    University of Catania, Italy

    9 publications · 709 citations

    9

    h-index

1–5 of 6.9K

Venues

  1. PLoS ONE

    22 publications · 1.4K citations

    17

    h-index

  2. 15

    h-index

  3. PubMed

    Repository · 15 publications · 754 citations

    14

    h-index

  4. BMC Public Health

    14 publications · 630 citations

    13

    h-index

  5. Journal of the American Statistical Association

    13 publications · 9.3K citations

    13

    h-index

1–5