Ordered Response Models

Ordered Response Models is a statistical modeling framework within the class of categorical regression models that accounts for ordinal dependent variables by distinguishing itself through the assumption that the observed ordered categories reflect an underlying continuous latent variable subject to threshold-based discretization.

288

Publications

24.3K

Citations

511

Authors

324

Institutions

Publications per year

2017–2026

45

Variants

Ordered Choice Models

Authors

511

  1. CR
    Chandra R. Bhat

    The University of Texas at Austin, United States

    10 publications · 632 citations

    10

    h-index

  2. AA
    Alan Agresti

    University of Florida, United States

    8 publications · 447 citations

    8

    h-index

  3. NE
    Naveen Eluru

    University of Central Florida, United States

    6 publications · 329 citations

    6

    h-index

  4. DA
    David Andrich

    The University of Western Australia, Australia

    6 publications · 3.3K citations

    6

    h-index

  5. RP
    Rajesh Paleti

    The University of Texas at Austin, United States

    5 publications · 156 citations

    5

    h-index

1–5 of 511

Venues

  1. SSRN Electronic Journal

    Repository · 11 publications · 398 citations

    11

    h-index

  2. 9

    h-index

  3. 9

    h-index

  4. Statistics in Medicine

    8 publications · 733 citations

    8

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 7 publications · 221 citations

    8

    h-index

1–5