Bayesian Interim Monitoring

Bayesian Interim Monitoring is a statistical methodology within Bayesian clinical trial design that enables repeated evaluation of accumulating evidence during the trial to assess efficacy, futility, or safety, using posterior or predictive probabilities to inform stopping decisions while maintaining probabilistic coherence.

32

Publications

2.3K

Citations

96

Authors

61

Institutions

Publications per year

2017–2026

6

Variants

Bayesian Interim Analysis

Authors

96

  1. MP
    Mahesh Parmar

    University College London, United Kingdom

    5 publications · 1.1K citations

    5

    h-index

  2. DJ
    David J. Spiegelhalter

    MRC Biostatistics Unit, United Kingdom

    4 publications · 962 citations

    4

    h-index

  3. LS
    Laurence S. Freedman

    Sheba Medical Center, Israel

    4 publications · 950 citations

    4

    h-index

  4. BP
    Bradley P. Carlin

    University of Minnesota, United States

    3 publications · 162 citations

    3

    h-index

  5. DA
    Deborah Ashby

    Imperial College London, United Kingdom

    2 publications · 139 citations

    2

    h-index

1–5 of 96

Venues

  1. Statistics in Medicine

    12 publications · 823 citations

    10

    h-index

  2. Journal of Biopharmaceutical Statistics

    JBS · 2 publications · 108 citations

    2

    h-index

  3. Trials

    2 publications · 60 citations

    2

    h-index

  4. JNCI Journal of the National Cancer Institute

    1 publications · 27 citations

    1

    h-index

  5. Biometrical Journal

    1 publications · 28 citations

    1

    h-index

1–5