Binary Trait Analysis

Binary Trait Analysis is a statistical method in animal model research that classifies phenotypic traits into two discrete categories to estimate genetic parameters and evaluate the influence of genetic and environmental factors on dichotomous outcomes.

125

Publications

8.2K

Citations

527

Authors

200

Institutions

Publications per year

2017–2026

18

Authors

527

  1. DG
    Daniel Gianola

    University of Wisconsin–Madison, United States

    6 publications · 140 citations

    6

    h-index

  2. RC
    Robert C. Elston

    Case Western Reserve University, United States

    5 publications · 129 citations

    5

    h-index

  3. SX
    Shizhong Xu

    University of California, Riverside, United States

    4 publications · 336 citations

    4

    h-index

  4. MH
    M.C. Hannah

    Ellinbank Observatory, Australia

    4 publications · 188 citations

    4

    h-index

  5. IM
    I. Misztal

    University of Georgia, United States

    4 publications · 125 citations

    4

    h-index

1–5 of 527

Venues

  1. Journal of Animal Science

    16 publications · 577 citations

    15

    h-index

  2. Genetic Epidemiology

    9 publications · 477 citations

    9

    h-index

  3. Journal of Animal Breeding and Genetics

    7 publications · 116 citations

    7

    h-index

  4. animal

    6 publications · 321 citations

    6

    h-index

  5. Genetics

    6 publications · 509 citations

    6

    h-index

1–5