Nonlinear Mendelian Randomization

Nonlinear Mendelian Randomization is a methodological framework within causal inference in genetics that extends standard Mendelian randomization by allowing for nonlinear exposure-outcome relationships through flexible modeling of the genetic instrument-exposure-outcome pathway.

21

Publications

1.8K

Citations

158

Authors

101

Institutions

Publications per year

2017–2026

20

Authors

158

  1. SB
    Stephen Burgess

    University of Cambridge, United Kingdom

    4 publications · 390 citations

    4

    h-index

  2. SA
    Sizhi Ai

    First Affiliated Hospital of Xinxiang Medical University, China

    2 publications · 324 citations

    2

    h-index

  3. GD
    George Davey Smith

    University of Bristol, United Kingdom

    2 publications · 72 citations

    2

    h-index

  4. AZ
    Ang Zhou

    University of South Australia, Australia

    2 publications · 116 citations

    2

    h-index

  5. AM
    Anwar Mulugeta

    Addis Ababa University, Ethiopia

    2 publications · 116 citations

    2

    h-index

1–5 of 158

Venues

  1. BMC Medicine

    3 publications · 100 citations

    3

    h-index

  2. JAMA Network Open

    3 publications · 508 citations

    3

    h-index

  3. European Heart Journal

    1 publications · 261 citations

    1

    h-index

  4. Cancer Epidemiology Biomarkers & Prevention

    CEBP · 1 publications · 16 citations

    1

    h-index

  5. Current Epidemiology Reports

    1 publications · 22 citations

    1

    h-index

1–5