Subgroup-specific Effect Estimates

Subgroup-Specific Effect Estimates is a statistical inference that quantifies the magnitude and direction of a treatment or exposure effect within a predefined subset of individuals sharing distinct characteristics, differentiating it from overall effect estimates by focusing on heterogeneity of effects across subpopulations defined by covariates such as demographics, biomarkers, or clinical traits.

157

Publications

14.3K

Citations

674

Authors

327

Institutions

Publications per year

2017–2026

64

Variants

Subgroup-specific Effects

Authors

674

  1. JP
    John P. A. Ioannidis

    Stanford University, United States

    5 publications · 1.6K citations

    5

    h-index

  2. GR
    G. Rosenkranz

    Novartis (Switzerland), Switzerland

    4 publications · 102 citations

    4

    h-index

  3. DM
    David M. Kent

    Tufts Medical Center, United States

    4 publications · 1.1K citations

    4

    h-index

  4. GG
    Gordon Guyatt

    McMaster University, Canada

    3 publications · 574 citations

    3

    h-index

  5. MY
    Menggang Yu

    University of Wisconsin–Madison, United States

    3 publications · 181 citations

    3

    h-index

1–5 of 674

Venues

  1. Statistics in Medicine

    10 publications · 950 citations

    10

    h-index

  2. American Journal of Epidemiology

    AJE · 6 publications · 367 citations

    6

    h-index

  3. Journal of Biopharmaceutical Statistics

    JBS · 6 publications · 117 citations

    6

    h-index

  4. Clinical Trials

    5 publications · 204 citations

    5

    h-index

  5. Biometrical Journal

    4 publications · 115 citations

    4

    h-index

1–5