Sensitivity Understanding

Sensitivity Understanding is a cognitive construct in health numeracy that denotes the ability to interpret and apply conditional probabilities associated with diagnostic test outcomes, specifically distinguishing true positive rates from false positive rates in clinical decision-making contexts.

22

Publications

713

Citations

54

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

54

  1. PJ
    Patrick J. Sweeney

    Cleveland Clinic, United States

    2 publications · 47 citations

    2

    h-index

  2. JF
    Jeffrey F. Peipert

    Washington University in St. Louis, United States

    2 publications · 47 citations

    2

    h-index

  3. DS
    Dugald S. Arbuckle

    Boston University, United States

    1 publications · 10 citations

    1

    h-index

  4. RH
    Roger Harrison

    Yale University, United States

    1 publications · 43 citations

    1

    h-index

  5. JR
    Jerome Reisel

    1 publications · 18 citations

    1

    h-index

1–5 of 54

Venues

  1. Journal of Consulting and Clinical Psychology

    2 publications · 59 citations

    2

    h-index

  2. Obstetrics and Gynecology

    2 publications · 47 citations

    2

    h-index

  3. The Personnel and Guidance Journal

    1 publications · 10 citations

    1

    h-index

  4. Psychological Bulletin

    1 publications · 85 citations

    1

    h-index

  5. 1

    h-index

1–5