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Identifying Subjects Who Benefit from Additional Information for Better Prediction of the Outcome Variables

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  • L. Tian
  • T. Cai
  • L. J. Wei

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  • L. Tian & T. Cai & L. J. Wei, 2009. "Identifying Subjects Who Benefit from Additional Information for Better Prediction of the Outcome Variables," Biometrics, The International Biometric Society, vol. 65(3), pages 894-902, September.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:3:p:894-902
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01125.x
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    References listed on IDEAS

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    1. Margaret Pepe & Holly Janes & Gary Longton & Wendy Leisenring & Polly Newcomb, 2004. "Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker," UW Biostatistics Working Paper Series 1035, Berkeley Electronic Press.
    2. Uno, Hajime & Cai, Tianxi & Tian, Lu & Wei, L.J., 2007. "Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 527-537, June.
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    Cited by:

    1. A van Giessen & K G M Moons & G A de Wit & W M M Verschuren & J M A Boer & H Koffijberg, 2015. "Tailoring the Implementation of New Biomarkers Based on Their Added Predictive Value in Subgroups of Individuals," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-14, January.
    2. Hajime Uno & Tianxi Cai & Lu Tian & L. J. Wei, 2011. "Graphical Procedures for Evaluating Overall and Subject-Specific Incremental Values from New Predictors with Censored Event Time Data," Biometrics, The International Biometric Society, vol. 67(4), pages 1389-1396, December.

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