Bayesian Evidence Synthesis

Bayesian Evidence Synthesis is a statistical framework that integrates heterogeneous sources of empirical evidence within a unified Bayesian model to update prior beliefs about parameters or hypotheses through formal likelihood specification and posterior inference.

96

Publications

8.5K

Citations

288

Authors

156

Institutions

Publications per year

2017–2026

27

Authors

288

  1. AE
    A. E. Ades

    University of Bristol, United Kingdom

    14 publications · 4.6K citations

    12

    h-index

  2. DD
    Daniela De Angelis

    MRC Biostatistics Unit, United Kingdom

    10 publications · 391 citations

    10

    h-index

  3. AM
    Anne M. Presanis

    MRC Biostatistics Unit, United Kingdom

    7 publications · 221 citations

    7

    h-index

  4. NJ
    Nicky J. Welton

    University of Bristol, United Kingdom

    7 publications · 4.1K citations

    7

    h-index

  5. AJ
    Alex J. Sutton

    University of Leicester, United Kingdom

    6 publications · 1.8K citations

    6

    h-index

1–5 of 288

Venues

  1. Statistics in Medicine

    7 publications · 3K citations

    7

    h-index

  2. Medical Decision Making

    MDM · 5 publications · 1.5K citations

    5

    h-index

  3. Journal of Biopharmaceutical Statistics

    JBS · 4 publications · 106 citations

    4

    h-index

  4. 4

    h-index

  5. 3

    h-index

1–5