Bayesian Subgroup Analysis

Bayesian Subgroup Analysis is a statistical methodology that belongs to the class of Bayesian inference techniques, distinguished by its application of prior distributions and posterior updating to evaluate heterogeneous treatment effects across predefined subgroups within clinical trial data.

45

Publications

2.2K

Citations

146

Authors

109

Institutions

Publications per year

2017–2026

16

Authors

146

  1. PM
    Peter Müller

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 87 citations

    3

    h-index

  2. RV
    Ravi Varadhan

    Johns Hopkins University, United States

    3 publications · 91 citations

    3

    h-index

  3. BP
    Bradley P. Carlin

    University of Minnesota, United States

    3 publications · 92 citations

    3

    h-index

  4. TA
    Thomas A. Louis

    Johns Hopkins University, United States

    2 publications · 77 citations

    2

    h-index

  5. SS
    Siva Sivaganesan

    University of Cincinnati, United States

    2 publications · 71 citations

    2

    h-index

1–5 of 146

Venues

  1. Statistics in Medicine

    8 publications · 231 citations

    8

    h-index

  2. Pharmaceutical Statistics

    4 publications · 94 citations

    4

    h-index

  3. Circulation

    2 publications · 113 citations

    2

    h-index

  4. Biometrics

    2 publications · 83 citations

    2

    h-index

  5. Biometrical Journal

    1 publications · 14 citations

    1

    h-index

1–5