Mr-egger Regression

MR-Egger Regression is a statistical method in Mendelian randomization that extends instrumental variable analysis by allowing for directional pleiotropy through the inclusion of an intercept term in the regression model, thereby distinguishing it from conventional inverse-variance weighted approaches.

307

Publications

33K

Citations

1.7K

Authors

523

Institutions

Publications per year

2017–2026

302

Variants

Mr-egger

Authors

1.7K

  1. YM
    Yingying Mao

    Zhejiang Chinese Medical University, China

    11 publications · 309 citations

    11

    h-index

  2. SB
    Stephen Burgess

    University of Cambridge, United Kingdom

    10 publications · 15.5K citations

    10

    h-index

  3. GD
    George Davey Smith

    University of Bristol, United Kingdom

    9 publications · 17.2K citations

    9

    h-index

  4. JB
    Jack Bowden

    University of Bristol, United Kingdom

    9 publications · 17.6K citations

    9

    h-index

  5. XS
    Xiaohui Sun

    Zhejiang Chinese Medical University, China

    6 publications · 188 citations

    6

    h-index

1–5 of 1.7K

Venues

  1. Frontiers in Endocrinology

    23 publications · 640 citations

    18

    h-index

  2. Frontiers in Genetics

    25 publications · 616 citations

    17

    h-index

  3. Frontiers in Immunology

    19 publications · 698 citations

    16

    h-index

  4. Scientific Reports

    12 publications · 243 citations

    11

    h-index

  5. Frontiers in Microbiology

    10 publications · 326 citations

    10

    h-index

1–5