Bivariate Twin Analysis

Bivariate Twin Analysis is a statistical method in behavioral genetics that extends univariate twin models by simultaneously estimating the genetic and environmental contributions to the covariance between two distinct phenotypic traits.

191

Publications

14.2K

Citations

622

Authors

263

Institutions

Publications per year

2017–2026

33

Authors

622

  1. KS
    Kenneth S. Kendler

    Virginia Commonwealth University, United States

    15 publications · 2.4K citations

    15

    h-index

  2. MC
    Michael C. Neale

    Virginia Commonwealth University, United States

    13 publications · 2.5K citations

    13

    h-index

  3. DI
    Dorret I. Boomsma

    Vrije Universiteit Amsterdam, Netherlands

    13 publications · 846 citations

    12

    h-index

  4. JK
    Jaakko Kaprio

    University of Helsinki, Finland

    11 publications · 681 citations

    11

    h-index

  5. ZP
    Zengchang Pang

    Qingdao Municipal Center for Disease Control and Prevention, China

    8 publications · 213 citations

    10

    h-index

1–5 of 622

Venues

  1. Twin Research and Human Genetics

    35 publications · 1.5K citations

    23

    h-index

  2. Psychological Medicine

    12 publications · 1.2K citations

    12

    h-index

  3. PubMed

    Repository · 6 publications · 493 citations

    6

    h-index

  4. Journal of Child Psychology and Psychiatry

    6 publications · 631 citations

    6

    h-index

  5. Behavior Genetics

    6 publications · 330 citations

    6

    h-index

1–5