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Journal article

Accounting for control mislabeling in case-control biomarker studies.

Abstract:

In biomarker discovery studies, uncertainty associated with case and control labels is often overlooked. By omitting to take into account label uncertainty, model parameters and the predictive risk can become biased, sometimes severely. The most common situation is when the control set contains an unknown number of undiagnosed, or future, cases. This has a marked impact in situations where the model needs to be well-calibrated, e.g., when the prediction performance of a biomarker panel is eva...

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Publication status:
Published

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Publisher copy:
10.1021/pr200507b

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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics, Clinical Medicine
Role:
Author
Journal:
Journal of proteome research
Volume:
10
Issue:
12
Pages:
5562-5567
Publication date:
2011-12-05
DOI:
EISSN:
1535-3907
ISSN:
1535-3893
URN:
uuid:1be53b22-af6b-4553-a8cc-755c7dc73eae
Source identifiers:
193127
Local pid:
pubs:193127

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