Bayesian Diagnostic Accuracy Meta-analysis

Bayesian Diagnostic Accuracy Meta-Analysis is a statistical framework that synthesizes diagnostic test accuracy data across studies by employing Bayesian hierarchical models to jointly estimate sensitivity, specificity, and other diagnostic parameters while incorporating prior knowledge and accounting for between-study heterogeneity.

9

Publications

413

Citations

29

Authors

29

Institutions

Publications per year

2017–2026

2

Authors

29

  1. HC
    Haitao Chu

    University of Minnesota, United States

    2 publications · 56 citations

    2

    h-index

  2. LJ
    Lawrence Joseph

    McGill University, Canada

    2 publications · 148 citations

    2

    h-index

  3. XM
    Xiaoye Ma

    Tongji University, China

    2 publications · 56 citations

    2

    h-index

  4. ND
    Nandini Dendukuri

    McGill University, Canada

    2 publications · 148 citations

    2

    h-index

  5. YC
    Yong Chen

    University of Pennsylvania, United States

    2 publications · 56 citations

    2

    h-index

1–5 of 29

Venues

  1. Research Synthesis Methods

    2 publications · 54 citations

    2

    h-index

  2. Biometrics

    2 publications · 224 citations

    2

    h-index

  3. American Journal of Epidemiology

    AJE · 1 publications · 23 citations

    1

    h-index

  4. BMC Medical Research Methodology

    1 publications · 44 citations

    1

    h-index

  5. Biostatistics

    1 publications · 45 citations

    1

    h-index

1–5