Relative Risk Estimation

Relative Risk Estimation is a statistical methodology in genetic risk prediction that quantifies the ratio of the probability of developing a disease in individuals with a specific genetic variant compared to those without it, serving as a measure of association between genetic exposure and disease outcome.

12.2K

Publications

1.1M

Citations

50.7K

Authors

7.8K

Institutions

Publications per year

2017–2026

1.9K

Publications

12.2K

1–5 of 12.2K

Authors

50.7K

  1. WC
    Walter C. Willett

    Harvard University, United States

    95 publications · 22.6K citations

    74

    h-index

  2. GA
    Graham A. Colditz

    Harvard University, United States

    77 publications · 21.3K citations

    64

    h-index

  3. MJ
    Meir J. Stampfer

    Harvard University, United States

    54 publications · 11.7K citations

    45

    h-index

  4. JE
    JoAnn E. Manson

    Brigham and Women's Hospital, United States

    57 publications · 11.4K citations

    45

    h-index

  5. EB
    Eric B. Rimm

    Harvard University, United States

    43 publications · 10K citations

    41

    h-index

1–5 of 50.7K

Venues

  1. American Journal of Epidemiology

    AJE · 497 publications · 64.8K citations

    140

    h-index

  2. BMJ

    187 publications · 45.1K citations

    113

    h-index

  3. PubMed

    Repository · 835 publications · 49.6K citations

    112

    h-index

  4. New England Journal of Medicine

    NEJM · 129 publications · 71K citations

    108

    h-index

  5. JAMA

    190 publications · 42.8K citations

    98

    h-index

1–5