Bayesian Trial Design

Bayesian Trial Design is a type of clinical trial design that incorporates prior knowledge or beliefs through Bayesian statistical methods to sequentially update the probability of hypotheses as data accumulate, thereby informing decision-making under uncertainty.

300

Publications

16.6K

Citations

1.1K

Authors

479

Institutions

Publications per year

2017–2026

97

Authors

1.1K

  1. DA
    Donald A. Berry

    The University of Texas MD Anderson Cancer Center, United States

    21 publications · 1.4K citations

    17

    h-index

  2. YY
    Ying Yuan

    The University of Texas MD Anderson Cancer Center, United States

    18 publications · 1.1K citations

    16

    h-index

  3. JG
    Joseph G. Ibrahim

    University of North Carolina at Chapel Hill, United States

    8 publications · 371 citations

    8

    h-index

  4. SB
    Scott Berry

    Berry & Associates (United States), United States

    8 publications · 468 citations

    8

    h-index

  5. DJ
    David J. Spiegelhalter

    MRC Biostatistics Unit, United Kingdom

    8 publications · 1.3K citations

    8

    h-index

1–5 of 1.1K

Venues

  1. Statistics in Medicine

    51 publications · 3K citations

    31

    h-index

  2. Biometrics

    25 publications · 1.7K citations

    20

    h-index

  3. Clinical Trials

    19 publications · 1.4K citations

    16

    h-index

  4. Journal of the American Statistical Association

    14 publications · 923 citations

    13

    h-index

  5. Pharmaceutical Statistics

    13 publications · 322 citations

    11

    h-index

1–5