Calibration Metrics

Calibration Metrics is a statistical framework used in polygenic risk assessment to evaluate the agreement between predicted risk probabilities and observed empirical outcomes, distinguishing itself by quantifying the reliability of risk stratification across different subgroups or risk thresholds.

44

Publications

3.2K

Citations

208

Authors

137

Institutions

Publications per year

2017–2026

29

Authors

208

  1. DW
    David Widmann

    Uppsala University, Sweden

    3 publications · 132 citations

    3

    h-index

  2. EW
    Ewout W. Steyerberg

    Erasmus MC, Netherlands

    3 publications · 1.2K citations

    3

    h-index

  3. FL
    Fredrik Lindsten

    Linköping University, Sweden

    3 publications · 132 citations

    3

    h-index

  4. DV
    David van Klaveren

    Erasmus MC, Netherlands

    3 publications · 310 citations

    3

    h-index

  5. PC
    Peter C. Austin

    University of Toronto, Canada

    3 publications · 572 citations

    3

    h-index

1–5 of 208

Venues

  1. Statistics in Medicine

    8 publications · 692 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 132 citations

    3

    h-index

  3. Applied Economics

    1 publications · 20 citations

    1

    h-index

  4. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 61 citations

    1

    h-index

  5. Transactions in GIS

    1 publications · 242 citations

    1

    h-index

1–5