Erratum to: Methods for evaluating medical tests and biomarkers.
Abstract
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
Type
Journal articleSubject
STREAMLINE COLON InvestigatorsSTREAMLINE LUNG Investigators
METRIC Investigators
MASTERMIND consortium
MASTERMIND consortium
Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine
CTC-STOP protocol development group
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https://hdl.handle.net/10161/18956Published Version (Please cite this version)
10.1186/s41512-017-0011-4Publication Info
(2017). Erratum to: Methods for evaluating medical tests and biomarkers. Diagnostic and prognostic research, 1(1). pp. 11. 10.1186/s41512-017-0011-4. Retrieved from https://hdl.handle.net/10161/18956.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Michael J Pencina
Professor of Biostatistics & Bioinformatics
Michael J. Pencina, PhD Chief Data Scientist, Duke Health Vice Dean for Data Science
Director, Duke AI Health Professor, Biostatistics & Bioinformatics Duke University
School of Medicine
Michael J. Pencina, PhD, is Duke Health's chief data scientist and serves as vice
dean for data science, director of Duke AI Health, and professor of biostatistics
and bioinformatics at the Duke University School of Medicine. His work bridges the
fiel
Articles written by Duke faculty are made available through the campus open access policy. For more information see: Duke Open Access Policy
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Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info
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