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Updated: Apr 30, 2026

Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats
Published on: March 11, 2016
Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease
Chirag R Parikh1, Heather Thiessen-Philbrook2
1Section 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.
Abstract:
Interest 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.
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