Multigroup Heterogeneity Correction

Multigroup Heterogeneity Correction is a methodological framework that belongs to the class of heterogeneity correction techniques and is distinguished by its explicit modeling of multiple distinct subgroup distributions within a population to adjust for systematic biases arising from latent or observed categorical differences in data sources, study designs, or demographic factors.

14

Publications

461

Citations

47

Authors

23

Institutions

Publications per year

2017–2026

3

Authors

47

  1. BT
    Bertrand Thirion

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    2 publications · 47 citations

    2

    h-index

  2. AR
    Alexis Roche

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 47 citations

    2

    h-index

  3. SM
    Sébastien Mériaux

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    2 publications · 47 citations

    2

    h-index

  4. JD
    Jan de Leeuw

    University of California, Los Angeles, United States

    1 publications · 20 citations

    1

    h-index

  5. SB
    Stéphanie Bougeard

    Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail, France

    1 publications · 20 citations

    1

    h-index

1–5 of 47

Venues

  1. NeuroImage

    3 publications · 106 citations

    3

    h-index

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

    Repository · 1 publications · 20 citations

    1

    h-index

  3. Journal of Dairy Science

    JDS · 1 publications · 128 citations

    1

    h-index

  4. eCommons (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 1 publications · 20 citations

    1

    h-index

1–5