Multivariable Meta-regression

Multivariable Meta-Regression is a statistical technique in meta-analysis that extends univariable meta-regression by simultaneously examining the influence of multiple study-level covariates on effect size heterogeneity, thereby isolating the independent contribution of each moderator while adjusting for potential confounders.

63

Publications

26.5K

Citations

444

Authors

235

Institutions

Publications per year

2017–2026

28

Variants

Multivariable Meta-regression Analysis

Authors

444

  1. WM
    Wenjun Ma

    Guangdong Provincial Center for Disease Control and Prevention, China

    3 publications · 175 citations

    3

    h-index

  2. TL
    Tao Liu

    Guangdong Provincial Center for Disease Control and Prevention, China

    3 publications · 175 citations

    3

    h-index

  3. YC
    Yong Chen

    University of Pennsylvania, United States

    2 publications · 46 citations

    2

    h-index

  4. SG
    Simon G. Thompson

    University of Cambridge, United Kingdom

    2 publications · 55 citations

    2

    h-index

  5. YX
    Yiqing Xu

    Hunan Provincial Center for Disease Control and Prevention, China

    2 publications · 33 citations

    2

    h-index

1–5 of 444

Venues

  1. Journal of Clinical Epidemiology

    3 publications · 4.2K citations

    3

    h-index

  2. The Journal of Human Resources

    JHR · 2 publications · 224 citations

    2

    h-index

  3. Diabetes Care

    2 publications · 190 citations

    2

    h-index

  4. Scientific Reports

    2 publications · 75 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 103 citations

    2

    h-index

1–5