Post-test Probability

Post-Test Probability is the conditional probability of a disease or condition being present in an individual after obtaining the results of a diagnostic test, derived by integrating the pre-test probability with the likelihood ratio of the test outcome.

190

Publications

9.4K

Citations

946

Authors

462

Institutions

Publications per year

2017–2026

39

Variants

Posterior Probability

Authors

946

  1. SS
    Sverre Sandberg

    University of Bergen, Norway

    3 publications · 59 citations

    3

    h-index

  2. CC
    Chad Cook

    Duke University, United States

    3 publications · 148 citations

    3

    h-index

  3. MY
    Marjolein Y. Berger

    University Medical Center Groningen, Netherlands

    3 publications · 118 citations

    3

    h-index

  4. MP
    Mario Plebani

    University of Padua, Italy

    3 publications · 43 citations

    3

    h-index

  5. JV
    Jef Van den Ende

    Instituut voor Tropische Geneeskunde, Belgium

    3 publications · 62 citations

    3

    h-index

1–5 of 946

Venues

  1. PubMed

    Repository · 25 publications · 1.6K citations

    15

    h-index

  2. Medical Decision Making

    MDM · 6 publications · 210 citations

    6

    h-index

  3. European Respiratory Journal

    4 publications · 185 citations

    4

    h-index

  4. Annals of the Rheumatic Diseases

    ARD · 3 publications · 276 citations

    3

    h-index

  5. Family Practice

    3 publications · 100 citations

    3

    h-index

1–5