Communicating Statistical Uncertainty

Communicating Statistical Uncertainty is the academic practice of conveying the inherent variability and probabilistic nature of data-derived conclusions in a manner that distinguishes it from broader uncertainty communication by focusing specifically on quantifiable statistical imprecision and its interpretation in scientific and decision-making contexts.

38

Publications

2.6K

Citations

115

Authors

65

Institutions

Publications per year

2017–2026

12

Authors

115

  1. AG
    Andrew Gelman

    Columbia University, United States

    3 publications · 108 citations

    3

    h-index

  2. WK
    W. K. Estes

    Rockefeller University, United States

    1 publications · 73 citations

    1

    h-index

  3. PA
    Pier Alberto Bertazzi

    University of Milan, Italy

    1 publications · 24 citations

    1

    h-index

  4. PG
    Peter Gennemark

    AstraZeneca (Sweden), Sweden

    1 publications · 14 citations

    1

    h-index

  5. DC
    David C. Folch

    University of Colorado Boulder, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 115

Venues

  1. 2

    h-index

  2. The Economic Journal

    1 publications · 31 citations

    1

    h-index

  3. Science

    1 publications · 638 citations

    1

    h-index

  4. Clinical Pharmacology & Therapeutics

    CPT · 1 publications · 28 citations

    1

    h-index

  5. Technometrics

    1 publications · 12 citations

    1

    h-index

1–5