评估肾脏疾病生物标志物的统计方法的关键概念与局限性
Key concepts and limitations of statistical methods for evaluating biomarkers of kidney disease.
作者信息
Parikh Chirag R, Thiessen-Philbrook Heather
机构信息
Section of Nephrology, Yale University School of Medicine, Veterans Affairs Connecticut Healthcare System and the Program of Applied Translational Research, New Haven, Connecticut; and
Division of Nephrology, Department of Medicine, Western University, London, Ontario, Canada.
出版信息
J Am Soc Nephrol. 2014 Aug;25(8):1621-9. doi: 10.1681/ASN.2013121300. Epub 2014 May 1.
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.
摘要
对开发和使用新型肾损伤标志物的兴趣日益增加。为了在这些努力中保持科学严谨性，需要全面了解统计方法，以便严格评估新型生物标志物在现有临床风险预测模型中的增量价值。这种知识尤为重要，因为没有一种单一的统计方法足以评估新型生物标志物。在本综述中，我们强调了文献中用于生物标志物研究的各种传统和新型统计方法的优势和局限性，并以急性肾损伤的生物标志物为例来说明一些常用统计方法的局限性。
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本文引用的文献
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