Decision Model Calibration

Decision Model Calibration is a methodological process that ensures a decision model’s probabilistic predictions align with observed outcomes by adjusting its parameters to minimize systematic discrepancies between predicted and actual results.

104

Publications

4.4K

Citations

356

Authors

181

Institutions

Publications per year

2017–2026

25

Authors

356

  1. BE
    Bruce E. Hillner

    Virginia Commonwealth University, United States

    3 publications · 68 citations

    3

    h-index

  2. SM
    Stephen M. Welch

    Kansas State University, United States

    2 publications · 38 citations

    2

    h-index

  3. AM
    Amanda M. VanDerHeyden

    University of California, Santa Barbara, United States

    2 publications · 164 citations

    2

    h-index

  4. BB
    Bennet B. Murdock

    University of Toronto, Canada

    2 publications · 104 citations

    2

    h-index

  5. RF
    Reza Farzipoor Saen

    Islamic Azad University, Karaj, Iran

    2 publications · 38 citations

    2

    h-index

1–5 of 356

Venues

  1. Medical Decision Making

    MDM · 3 publications · 64 citations

    3

    h-index

  2. Socio-Economic Planning Sciences

    3 publications · 88 citations

    3

    h-index

  3. Agricultural Systems

    2 publications · 27 citations

    2

    h-index

  4. Journal of Vascular Surgery

    2 publications · 87 citations

    2

    h-index

  5. Psychological Review

    2 publications · 104 citations

    2

    h-index

1–5