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H. Su, Y. Qin and H. Liang, “Empirical Likelihood-Based Confidence Interval of ROC Curves,” Statistics in Biopharmaceutical Research, Vol. 1, No. 4, 2009, pp. 407- 414. doi:10.1198/sbr.2009.0044

has been cited by the following article:

• TITLE: Smoothed Empirical Likelihood Inference for ROC Curves with Missing Data

  AUTHORS: Yueheng An

  KEYWORDS: Confidence Interval; Missing Data; ROC Curve; Smoothed Empirical Likelihood

  JOURNAL NAME: Open Journal of Statistics, Vol.2 No.1, January 6, 2012

  ABSTRACT: The receiver operating characteristic (ROC) curve has been widely used in scientific research fields. After using the random hot deck imputation, we propose the smoothed empirical likelihood ratio statistic for the ROC curve with missing data. Its asymptotic distribution is a scaled chi-square distribution and empirical likelihood confidence intervals for ROC curves are constructed. The simulation study shows that the proposed interval estimates perform well based on the coverage probability for different sample sizes and response rates.