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
Parents
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1–5 of 44
208
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137
Erasmus MC
Rotterdam, The Netherlands
5 h-index
10 publications
4.1K citations
Harvard University
Cambridge, United States
4 h-index
6 publications
221 citations

Uppsala University
Uppsala, Sweden
3 h-index
12 publications
579 citations

Leiden University Medical Center
Leiden, The Netherlands
3 h-index
5 publications
445 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
12 publications
606 citations

University of Toronto
Toronto, Canada
3 h-index
3 publications
572 citations
Cancer Research And Biostatistics
Seattle, United States
3 h-index
3 publications
66 citations
Texas A&M University
College Station, United States
3 h-index
5 publications
90 citations
1–8 of 137
8 publications · 692 citations
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Repository · 3 publications · 132 citations
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1 publications · 20 citations
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JAMIA · 1 publications · 61 citations
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1 publications · 242 citations
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