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Within the three-class ROC analysis framework, we address the problem of making inferences about a true class fraction (TCF), given the remaining two. More precisely, we propose a procedure to estimate the covariate-specific TCF \(_2\) , i.e., the covariate-specific probability of correct classification at the so-called early stage, when the values for the true class fractions at first and third classes are fixed. An application to a real dataset is also presented.

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Covariate-Specific Estimation of the Sensitivity to the Early Disease Stage in Diagnostic Tests

  • 会议论文

  • 发表日期：

    2025年

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  • Duc-Khanh To,
  • Gianfranco Adimari,
  • Monica Chiogna,
  • Gloria Remoli

摘要

Within the three-class ROC analysis framework, we address the problem of making inferences about a true class fraction (TCF), given the remaining two. More precisely, we propose a procedure to estimate the covariate-specific TCF \(_2\) , i.e., the covariate-specific probability of correct classification at the so-called early stage, when the values for the true class fractions at first and third classes are fixed. An application to a real dataset is also presented.