Covariate Model Evaluation

Covariate Model Evaluation is a methodological framework within statistical modeling that systematically assesses the impact, significance, and adequacy of covariates in explaining variability in outcomes through predefined criteria such as model fit, predictive performance, and parameter precision.

31

Publications

1.6K

Citations

103

Authors

59

Institutions

Publications per year

2017–2026

9

Authors

103

  1. PC
    Philippe Castagliola

    Nantes Université, France

    3 publications · 56 citations

    3

    h-index

  2. WR
    William R. Darden

    University of Georgia, United States

    2 publications · 46 citations

    2

    h-index

  3. MO
    Mats O. Karlsson

    Uppsala University, Sweden

    2 publications · 340 citations

    2

    h-index

  4. JS
    Jinsheng Sun

    Nanjing University of Science and Technology, China

    2 publications · 41 citations

    2

    h-index

  5. XH
    Xuelong Hu

    Nanjing University of Posts and Telecommunications, China

    2 publications · 41 citations

    2

    h-index

1–5 of 103

Venues

  1. British Journal of Clinical Pharmacology

    BJCP · 2 publications · 51 citations

    2

    h-index

  2. Multivariate Behavioral Research

    MBR · 2 publications · 48 citations

    2

    h-index

  3. Journal of Marketing Research

    2 publications · 46 citations

    2

    h-index

  4. European J of Industrial Engineering

    EJIE · 1 publications · 15 citations

    1

    h-index

  5. 1

    h-index

1–5