Multiple Threshold Meta-analysis

Multiple Threshold Meta-Analysis is a statistical synthesis method that integrates diagnostic accuracy data from studies reporting multiple thresholds for the same test, distinguished by its capacity to simultaneously model threshold-specific sensitivity and specificity while accounting for the correlation induced by within-study multiple threshold reporting.

11

Publications

766

Citations

30

Authors

27

Institutions

Publications per year

2017–2026

2

Authors

30

  1. RD
    Richard D Riley

    Keele University, United Kingdom

    2 publications · 50 citations

    2

    h-index

  2. GR
    Gerta Rücker

    University of Freiburg, Germany

    1 publications · 220 citations

    1

    h-index

  3. BV
    Ben Vandermeer

    University of Alberta, Canada

    1 publications · 103 citations

    1

    h-index

  4. VD
    Vanja Dukić

    University of Colorado Boulder, United States

    1 publications · 99 citations

    1

    h-index

  5. NJ
    Nicola J. Cooper

    University of Leicester, United Kingdom

    1 publications · 51 citations

    1

    h-index

1–5 of 30

Venues

  1. BMC Medical Research Methodology

    3 publications · 375 citations

    3

    h-index

  2. Statistical Methods in Medical Research

    2 publications · 64 citations

    2

    h-index

  3. Economic Modelling

    1 publications · 24 citations

    1

    h-index

  4. Journal of Clinical Epidemiology

    1 publications · 51 citations

    1

    h-index

  5. Biometrics

    1 publications · 99 citations

    1

    h-index

1–5