Mixed-model Heritability Analysis

Mixed-Model Heritability Analysis is a statistical methodology that estimates the proportion of phenotypic variance attributable to genetic factors by incorporating both fixed and random effects within a linear mixed model framework to account for population structure and relatedness among individuals.

31

Publications

2.2K

Citations

543

Authors

74

Institutions

Publications per year

2017–2026

6

Authors

543

  1. MP
    Michael P. Epstein

    Emory University, United States

    1 publications · 15 citations

    1

    h-index

  2. LE
    Laura E. Beane Freeman

    National Cancer Institute, United States

    1 publications · 191 citations

    1

    h-index

  3. DL
    Daniel L. Koller

    Indiana University – Purdue University Indianapolis, United States

    1 publications · 27 citations

    1

    h-index

  4. RD
    Rebecca D. Jackson

    The Ohio State University, United States

    1 publications · 191 citations

    1

    h-index

  5. RP
    Reury-Perng Perng

    Taipei Veterans General Hospital, Taiwan

    1 publications · 191 citations

    1

    h-index

1–5 of 543

Venues

  1. Biometrics

    2 publications · 106 citations

    2

    h-index

  2. Genetics Selection Evolution

    GSE · 1 publications · 12 citations

    1

    h-index

  3. European Journal of Orthodontics

    1 publications · 40 citations

    1

    h-index

  4. Annals of Human Biology

    1 publications · 20 citations

    1

    h-index

  5. The Indian Journal of Animal Sciences

    1 publications · 12 citations

    1

    h-index

1–5