Predictive Model Calibration

Predictive Model Calibration is the process of ensuring that the predicted probabilities generated by a genetic risk prediction model accurately reflect the true likelihood of the observed outcomes, belonging to the class of model validation techniques and distinguished by its focus on the agreement between predicted risks and empirical event rates.

70

Publications

4.4K

Citations

258

Authors

171

Institutions

Publications per year

2017–2026

23

Authors

258

  1. YV
    Yvonne Vergouwe

    Erasmus MC, Netherlands

    3 publications · 131 citations

    3

    h-index

  2. EW
    Ewout W. Steyerberg

    Erasmus MC, Netherlands

    3 publications · 403 citations

    3

    h-index

  3. SE
    Stefano Ermon

    Stanford University, United States

    2 publications · 25 citations

    2

    h-index

  4. TM
    Tengyu Ma

    Stanford University, United States

    2 publications · 25 citations

    2

    h-index

  5. SV
    Sabine Van Huffel

    KU Leuven, Belgium

    2 publications · 109 citations

    2

    h-index

1–5 of 258

Venues

  1. Statistics in Medicine

    7 publications · 1K citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 56 citations

    4

    h-index

  3. Reliability Engineering & System Safety

    3 publications · 77 citations

    3

    h-index

  4. 2

    h-index

  5. PLoS ONE

    2 publications · 146 citations

    2

    h-index

1–5