Fixed-effect Model Selection

Fixed-Effect Model Selection is the systematic process of identifying and justifying the inclusion of specific fixed effects within a statistical model to account for observed heterogeneity across observational units while maintaining the assumption that these effects are non-random and of direct inferential interest.

17

Publications

546

Citations

63

Authors

43

Institutions

Publications per year

2017–2026

8

Authors

63

  1. BL
    Béatrice Laurent

    Institut de Mathématiques de Toulouse, France

    2 publications · 30 citations

    2

    h-index

  2. FR
    Florian Rohart

    The University of Queensland, Australia

    2 publications · 30 citations

    2

    h-index

  3. CM
    Carla Mamolo

    Pfizer (United States), United States

    1 publications · 29 citations

    1

    h-index

  4. HL
    Hua-qiu Li

    Sun Yat-sen University, China

    1 publications · 24 citations

    1

    h-index

  5. LD
    Liang Du

    Sichuan University, China

    1 publications · 48 citations

    1

    h-index

1–5 of 63

Venues

  1. Banks and Bank Systems

    1 publications · 28 citations

    1

    h-index

  2. Marketing Intelligence & Planning

    1 publications · 17 citations

    1

    h-index

  3. Jurnal Kajian Ekonomi dan Pembangunan

    1 publications · 20 citations

    1

    h-index

  4. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. Euphytica

    1 publications · 55 citations

    1

    h-index

1–5