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Research Article

Risk Prediction for Breast, Endometrial, and Ovarian Cancer in White Women Aged 50 y or Older: Derivation and Validation from Population-Based Cohort Studies

  • Ruth M. Pfeiffer mail,

    Pfeiffer@mail.nih.gov

    Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Yikyung Park,

    Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Aimée R. Kreimer,

    Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • James V. Lacey Jr,

    Affiliation: City of Hope, Duarte, California, United States of America

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  • David Pee,

    Affiliation: Information Management Systems, Rockville, Maryland, United States of America

    X
  • Robert T. Greenlee,

    Affiliation: Marshfield Clinic Research Foundation, Marshfield, Wisconsin, United States of America

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  • Saundra S. Buys,

    Affiliation: Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, United States of America

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  • Albert Hollenbeck,

    Affiliation: AARP, Washington, District of Columbia, United States of America

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  • Bernard Rosner,

    Affiliation: Channing Laboratory, Brigham and Women's Hospital and Harvard School of Public Health, Harvard University, Boston, Massachusetts, United States of America

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  • Mitchell H. Gail,

    Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

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  • Patricia Hartge

    Affiliation: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America

    X
  • Published: July 30, 2013
  • DOI: 10.1371/journal.pmed.1001492
  • Featured in PLOS Collections

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Linked Articles

Evaluation of Prediction Models for Decision-Making: Beyond Calibration and Discrimination

Lars Holmberg, Andrew Vickers
Perspective | published 30 Jul 2013 | PLOS Medicine
doi:10.1371/journal.pmed.1001491