Hypothesis Testing For Proportionality

Hypothesis Testing for Proportionality is a statistical inference procedure used to assess whether the proportional odds assumption holds in ordinal regression models by evaluating the constancy of odds ratios across different levels of the outcome variable.

39

Publications

2K

Citations

91

Authors

54

Institutions

Publications per year

2017–2026

4

Variants

Proportional Odds Assumption Testing

Authors

91

  1. XL
    Xing Liu

    Eastern Connecticut State University, United States

    2 publications · 221 citations

    2

    h-index

  2. JX
    Jun Xu

    Ball State University, United States

    1 publications · 111 citations

    1

    h-index

  3. JM
    Joshua M. Tebbs

    University of South Carolina, United States

    1 publications · 14 citations

    1

    h-index

  4. SA
    Susan A. Murphy

    University of Michigan, United States

    1 publications · 13 citations

    1

    h-index

  5. NS
    Nigel Stallard

    University of Warwick, United Kingdom

    1 publications · 46 citations

    1

    h-index

1–5 of 91

Venues

  1. Biometrika

    4 publications · 151 citations

    4

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 4 publications · 163 citations

    4

    h-index

  3. Mathematical Geology

    3 publications · 61 citations

    3

    h-index

  4. Statistical Methods in Medical Research

    2 publications · 42 citations

    2

    h-index

  5. Journal of Modern Applied Statistical Methods

    JMASM · 2 publications · 221 citations

    2

    h-index

1–5