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Using proportional odds models for semiparametric ROC surface estimation

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  • Wan, Shuwen
  • Zhang, Biao

Abstract

We propose a semiparametric ROC surface estimation method derived from proportional odds models. Some simulation results show that our proposed method is a sound choice whether the usual normality assumption holds or not. Analysis of a real data set is also provided.

Suggested Citation

  • Wan, Shuwen & Zhang, Biao, 2015. "Using proportional odds models for semiparametric ROC surface estimation," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 74-79.
    • Handle: RePEc:eee:stapro:v:105:y:2015:i:c:p:74-79
    DOI: 10.1016/j.spl.2015.06.009
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    References listed on IDEAS

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    1. Stephan Dreiseitl & Lucila Ohno-Machado & Michael Binder, 2000. "Comparing Three-class Diagnostic Tests by Three-way ROC Analysis," Medical Decision Making, , vol. 20(3), pages 323-331, July.
    2. Wan, Shuwen, 2012. "An empirical likelihood confidence interval for the volume under ROC surface," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1463-1467.
    3. Paul S. Heckerling, 2001. "Parametric Three-Way Receiver Operating Characteristic Surface Analysis Using Mathematica," Medical Decision Making, , vol. 21(5), pages 409-417, October.
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