Ordinal Longitudinal Models

Ordinal Longitudinal Model is a statistical model designed for analyzing repeated categorical measurements with ordered categories over time, distinguished by its incorporation of temporal dependence and subject-specific random effects to account for within-subject correlation in longitudinal data.

113

Publications

6.2K

Citations

308

Authors

201

Institutions

Publications per year

2017–2026

15

Authors

308

  1. GM
    Geert Molenberghs

    Hasselt University, Belgium

    11 publications · 649 citations

    10

    h-index

  2. DH
    Donald Hedeker

    University of Illinois Chicago, United States

    6 publications · 296 citations

    6

    h-index

  3. MG
    Mojtaba Ganjali

    Shahid Beheshti University, Iran

    4 publications · 55 citations

    4

    h-index

  4. GV
    Geert Verbeke

    KU Leuven, Belgium

    4 publications · 108 citations

    4

    h-index

  5. EL
    Emmanuel Lesaffre

    KU Leuven, Belgium

    4 publications · 476 citations

    4

    h-index

1–5 of 308

Venues

  1. Statistics in Medicine

    15 publications · 461 citations

    13

    h-index

  2. Journal of the American Statistical Association

    12 publications · 825 citations

    12

    h-index

  3. Biometrics

    9 publications · 512 citations

    9

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 7 publications · 300 citations

    7

    h-index

  5. Journal of Applied Statistics

    4 publications · 89 citations

    4

    h-index

1–5