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
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4.4K
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258
Authors
171
Institutions
Publications per year
2017–2026
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Erasmus MC
Rotterdam, The Netherlands
3 h-index
5 publications
531 citations

Leiden University Medical Center
Leiden, The Netherlands
3 h-index
4 publications
373 citations
Stanford University
Stanford, United States
3 h-index
6 publications
74 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
11 publications
316 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
4 publications
88 citations
University of Hertfordshire
Hatfield, United Kingdom
2 h-index
2 publications
531 citations
iMinds
Ghent, Belgium
2 h-index
4 publications
218 citations
KU Leuven
Leuven, Belgium
2 h-index
8 publications
436 citations
1–8 of 171
7 publications · 1K citations
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Repository · 4 publications · 56 citations
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3 publications · 77 citations
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2 publications · 31 citations
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2 publications · 146 citations
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