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Using the Optimal Robust Receiver Operating Characteristic (ROC) Curve for Predictive Genetic Tests

Author

Listed:
  • Qing Lu
  • Nancy Obuchowski
  • Sungho Won
  • Xiaofeng Zhu
  • Robert C. Elston

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Suggested Citation

  • Qing Lu & Nancy Obuchowski & Sungho Won & Xiaofeng Zhu & Robert C. Elston, 2010. "Using the Optimal Robust Receiver Operating Characteristic (ROC) Curve for Predictive Genetic Tests," Biometrics, The International Biometric Society, vol. 66(2), pages 586-593, June.
    • Handle: RePEc:bla:biomet:v:66:y:2010:i:2:p:586-593
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01278.x
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    References listed on IDEAS

    as
    1. Margaret Sullivan Pepe & Tianxi Cai & Gary Longton, 2006. "Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve," Biometrics, The International Biometric Society, vol. 62(1), pages 221-229, March.
    2. Stuart G. Baker, 2000. "Identifying Combinations of Cancer Markers for Further Study as Triggers of Early Intervention," Biometrics, The International Biometric Society, vol. 56(4), pages 1082-1087, December.
    3. Baker, Stuart G. & Kramer, Barnett S., 2007. "Peirce, Youden, and Receiver Operating Characteristic Curves," The American Statistician, American Statistical Association, vol. 61, pages 343-346, November.
    4. Martin W. McIntosh & Margaret Sullivan Pepe, 2002. "Combining Several Screening Tests: Optimality of the Risk Score," Biometrics, The International Biometric Society, vol. 58(3), pages 657-664, September.
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