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Journal of the National Cancer Institute Advance Access originally published online on April 29, 2008
JNCI Journal of the National Cancer Institute 2008 100(9):684; doi:10.1093/jnci/djn110
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Published by Oxford University Press 2008.

CORRESPONDENCE

Response:Re: Projecting Individualized Absolute Invasive Breast Cancer Risk in African American Women

Mitchell H. Gail, Leslie Bernstein, Joseph P. Costantino, David Pee, Giske Ursin

Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD (MHG); Beckman Research Institute and Department of Cancer Etiology, City of Hope Comprehensive Cancer Center, Duarte, CA (LB); Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA (JPC); Information Management Services, Rockville, MD (DP); Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA (GU)

Correspondence to: Mitchell H. Gail, MD, PhD, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Executive Plaza South, Rm 8032, Bethesda, MD 20892-7244 (e-mail: gailm@mail.nih.gov).

The first 10% of the full text of this article appears below.

We wrote (1) that the area under the curve (AUC) is inherently a retrospective quantity because it can be estimated from a random sample of case patients and of control subjects. Arguably better criteria for assessing risk models (2–4), such as positive and negative predictive value, misclassification rate, calibration, and expected loss . . . [Full Text of this Article]


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Related Correspondence

Re: Projecting Individualized Absolute Invasive Breast Cancer Risk in African American Women
Beverly Rockhill Levine
J Natl Cancer Inst 2008 100: 683-684. [Extract] [Full Text] [PDF]