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J. Am. Soc. Nephrol. · Aug 2014
ReviewKey concepts and limitations of statistical methods for evaluating biomarkers of kidney disease.
- Chirag R Parikh and Heather Thiessen-Philbrook.
- Section of Nephrology, Yale University School of Medicine, Veterans Affairs Connecticut Healthcare System and the Program of Applied Translational Research, New Haven, Connecticut; and chirag.parikh@yale.edu.
- J. Am. Soc. Nephrol. 2014 Aug 1; 25 (8): 1621-9.
AbstractInterest in developing and using novel markers of kidney injury is increasing. To maintain scientific rigour in these endeavors, a comprehensive understanding of statistical methodology is required to rigorously assess the incremental value of novel biomarkers in existing clinical risk prediction models. Such knowledge is especially relevant, because no single statistical method is sufficient to evaluate a novel biomarker. In this review, we highlight the strengths and limitations of various traditional and novel statistical methods used in the literature for biomarker studies and use biomarkers of AKI as examples to show limitations of some popular statistical methods. Copyright © 2014 by the American Society of Nephrology.
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