Multitrait Mixed Model Analysis

Multitrait Mixed Model Analysis is a statistical modeling framework that belongs to the class of mixed models and is distinguished by its simultaneous analysis of multiple correlated traits while accounting for both fixed and random effects in genetic and phenotypic covariance structures.

88

Publications

5.4K

Citations

382

Authors

194

Institutions

Publications per year

2017–2026

16

Variants

Multivariate Mixed Model Analysis

Authors

382

  1. HW
    Herbert W. Marsh

    Western Sydney University, Australia

    6 publications · 764 citations

    6

    h-index

  2. SE
    Scott E. Maxwell

    University of Notre Dame, United States

    2 publications · 74 citations

    2

    h-index

  3. CE
    Carol E. Franz

    University of California San Diego, United States

    2 publications · 265 citations

    2

    h-index

  4. RM
    Richard Milich

    University of Kentucky, United States

    2 publications · 95 citations

    2

    h-index

  5. WS
    William S. Kremen

    University of California San Diego, United States

    2 publications · 265 citations

    2

    h-index

1–5 of 382

Venues

  1. Journal of Animal Breeding and Genetics

    4 publications · 60 citations

    4

    h-index

  2. Personality and Individual Differences

    4 publications · 181 citations

    4

    h-index

  3. Journal of Educational Psychology

    4 publications · 227 citations

    4

    h-index

  4. Journal of Animal Science

    4 publications · 173 citations

    4

    h-index

  5. Journal of Dairy Science

    JDS · 4 publications · 80 citations

    4

    h-index

1–5