• Clin J Am Soc Nephrol · Aug 2014

    Review

    Developing risk prediction models for kidney injury and assessing incremental value for novel biomarkers.

    • Kathleen F Kerr, Allison Meisner, Heather Thiessen-Philbrook, Steven G Coca, and Chirag R Parikh.
    • Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington;
    • Clin J Am Soc Nephrol. 2014 Aug 7; 9 (8): 1488-96.

    AbstractThe field of nephrology is actively involved in developing biomarkers and improving models for predicting patients' risks of AKI and CKD and their outcomes. However, some important aspects of evaluating biomarkers and risk models are not widely appreciated, and statistical methods are still evolving. This review describes some of the most important statistical concepts for this area of research and identifies common pitfalls. Particular attention is paid to metrics proposed within the last 5 years for quantifying the incremental predictive value of a new biomarker. Copyright © 2014 by the American Society of Nephrology.

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