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Editorials |

Does the Net Reclassification Improvement Help Us Evaluate Models and Markers?

Andrew J. Vickers, PhD; and Margaret Pepe, PhD
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From Memorial Sloan-Kettering Cancer Center, New York, New York; and Fred Hutchinson Cancer Research Center, Seattle, Washington.

Grant Support: In part by funds from David H. Koch provided through the Prostate Cancer Foundation, the Sidney Kimmel Center for Prostate and Urologic Cancers, and SPORE grant P50-CA92629 from the National Cancer Institute to Dr. Howard Scher. This work was also supported in part by a National Institutes of Health/National Cancer Institute Cancer Center Support Grant to Memorial Sloan-Kettering Cancer Center under award P30 CA00874 and by grant R01CA152089 from the National Institutes of Health.

Potential Conflicts of Interest: None disclosed. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M13-2841.

Requests for Single Reprints: Andrew J. Vickers, PhD, Department of Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 East 63rd Street, 2nd Floor, New York, NY 10021; e-mail, vickersa@mskcc.org.

Current Author Addresses: Dr. Vickers: Department of Epidemiology & Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 East 63rd Street, 2nd Floor, New York, NY 10021.

Dr. Pepe: Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, PO Box 19024, Seattle, WA 98109-1024.

Ann Intern Med. 2014;160(2):136-137. doi:10.7326/M13-2841
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In this issue, Leening and colleagues discuss limitations and controversies surrounding the NRI and propose a systematic approach for presenting NRI analysis. The editorialists recommend that researchers exercise caution when using the NRI and consider statistical methods that allow for presenting results in more straightforward clinical terms.

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