Full Model Approach

Full Model Approach is a modeling methodology in covariate analysis that belongs to the class of comprehensive statistical strategies, distinguished by its incorporation of all available covariates into the initial model structure to systematically assess their collective influence on the outcome variable.

419

Publications

22.3K

Citations

1.4K

Authors

661

Institutions

Publications per year

2017–2026

115

Authors

1.4K

  1. LV
    L.D. Van Vleck

    Cornell University, United States

    4 publications · 137 citations

    4

    h-index

  2. CF
    Chen Fang

    University of Leicester, United Kingdom

    3 publications · 349 citations

    3

    h-index

  3. TM
    Torben Martinussen

    University of Copenhagen, Denmark

    3 publications · 81 citations

    3

    h-index

  4. RK
    R. K. Johnson

    University of Nebraska–Lincoln, United States

    3 publications · 95 citations

    3

    h-index

  5. YZ
    Yiheng Zhu

    Nanjing University of Science and Technology, China

    3 publications · 349 citations

    3

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 255 citations

    11

    h-index

  2. Biometrics

    7 publications · 1.1K citations

    7

    h-index

  3. Journal of Animal Science

    6 publications · 209 citations

    6

    h-index

  4. 4

    h-index

  5. Physics of Plasmas

    4 publications · 74 citations

    4

    h-index

1–5