Bayesian Efficacy Monitoring

Bayesian Efficacy Monitoring is a statistical methodology within Bayesian adaptive trial design that sequentially evaluates accumulating evidence to assess the probability of treatment efficacy relative to predefined decision criteria, enabling dynamic, data-driven modifications to ongoing clinical trials.

27

Publications

2.2K

Citations

104

Authors

55

Institutions

Publications per year

2017–2026

8

Authors

104

  1. DJ
    David J. Spiegelhalter

    MRC Biostatistics Unit, United Kingdom

    6 publications · 1.2K citations

    6

    h-index

  2. LS
    Laurence S. Freedman

    Sheba Medical Center, Israel

    5 publications · 1.1K citations

    5

    h-index

  3. MP
    Mahesh Parmar

    University College London, United Kingdom

    5 publications · 1.1K citations

    5

    h-index

  4. RS
    Richard Simon

    National Cancer Institute, United States

    3 publications · 473 citations

    3

    h-index

  5. PF
    Peter F. Thall

    The University of Texas MD Anderson Cancer Center, United States

    3 publications · 387 citations

    3

    h-index

1–5 of 104

Venues

  1. Statistics in Medicine

    9 publications · 800 citations

    9

    h-index

  2. Pharmaceutical Statistics

    2 publications · 45 citations

    2

    h-index

  3. Statistics in Biopharmaceutical Research

    SBR · 1 publications · 17 citations

    1

    h-index

  4. Biometrics

    1 publications · 11 citations

    1

    h-index

  5. British Journal of Clinical Pharmacology

    BJCP · 1 publications · 22 citations

    1

    h-index

1–5