Multiple Subgroup Testing

Multiple Subgroup Testing is a statistical methodology that involves the simultaneous evaluation of treatment effects or associations across several predefined subgroups within a dataset, distinguished by its emphasis on controlling error rates and addressing multiplicity issues arising from conducting multiple inferential tests across overlapping or distinct subgroup structures.

71

Publications

6.6K

Citations

263

Authors

173

Institutions

Publications per year

2017–2026

10

Variants

Multiple Subgroup Analysis

Authors

263

  1. MA
    Mohamed Alosh

    King Saud University, Saudi Arabia

    5 publications · 219 citations

    5

    h-index

  2. MF
    Mohammad F. Huque

    Office of Science, United States

    5 publications · 219 citations

    5

    h-index

  3. IL
    Ilya Lipkovich

    Eli Lilly (United States), United States

    3 publications · 319 citations

    3

    h-index

  4. AD
    Alex Dmitrienko

    Eli Lilly (United States), United States

    3 publications · 459 citations

    3

    h-index

  5. TR
    Thomas R. Fleming

    University of Washington, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 263

Venues

  1. Statistics in Medicine

    6 publications · 735 citations

    6

    h-index

  2. Statistics in Biopharmaceutical Research

    SBR · 3 publications · 95 citations

    3

    h-index

  3. 3

    h-index

  4. Drug Information Journal

    DIA · 3 publications · 87 citations

    3

    h-index

  5. Journal of Biopharmaceutical Statistics

    JBS · 3 publications · 123 citations

    3

    h-index

1–5