TY - JOUR
T1 - Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease
AU - Parikh, Chirag R.
AU - Thiessen-Philbrook, Heather
N1 - Publisher Copyright:
Copyright © 2014 by the American Society of Nephrology.
PY - 2014/8/1
Y1 - 2014/8/1
N2 - Interest indevelopingandusingnovelmarkers of kidney injury is increasing. Tomaintain 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.
AB - Interest indevelopingandusingnovelmarkers of kidney injury is increasing. Tomaintain 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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U2 - 10.1681/ASN.2013121300
DO - 10.1681/ASN.2013121300
M3 - Review article
C2 - 24790177
AN - SCOPUS:84921635924
SN - 1046-6673
VL - 25
SP - 1621
EP - 1629
JO - Journal of the American Society of Nephrology
JF - Journal of the American Society of Nephrology
IS - 8
ER -