Approval Probability

Approval Probability is a quantitative metric used in regulatory science to denote the likelihood that a product, intervention, or application will receive formal authorization from a regulatory body, distinguished by its reliance on statistical, clinical, and procedural evidence evaluated against established regulatory standards.

13

Publications

575

Citations

33

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

33

  1. DS
    Denis Schweizer

    Concordia University, Canada

    2 publications · 136 citations

    2

    h-index

  2. CS
    Christoph Schmidt‐Petri

    Karlsruhe Institute of Technology, Germany

    2 publications · 151 citations

    2

    h-index

  3. DJ
    Douglas J. Cumming

    Florida Atlantic University, United States

    2 publications · 136 citations

    2

    h-index

  4. LH
    Lars Helge Haß

    Lancaster University, United Kingdom

    2 publications · 136 citations

    2

    h-index

  5. DG
    Daniel Graeber

    German Institute for Economic Research, Germany

    2 publications · 151 citations

    2

    h-index

1–5 of 33

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 69 citations

    3

    h-index

  2. PLoS ONE

    1 publications · 135 citations

    1

    h-index

  3. American Journal of Political Science

    AJPS · 1 publications · 56 citations

    1

    h-index

  4. Computer

    1 publications · 12 citations

    1

    h-index

  5. Cancer Chemotherapy and Pharmacology

    1 publications · 34 citations

    1

    h-index

1–5