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    Empirical likelihood-based inferences for the area under the ROC curve with covariates

    2014-12-15 辦公室 點擊:[]

    報告人:楊寶瑩

     

    報告摘要:In the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC) isa popular summary index of discriminatory accuracy of a diagnostic test. Incorporating covariates into ROCanalysis can improve the diagnostic accuracy of the test. Regression model for the AUC is a tool to evaluate theeffects of the covariates on the diagnostic accuracy. In this paper, empirical likelihood (EL) method is proposedfor the AUC regression model. For the regression parameter vector, it can be shown that the asymptoticdistribution of its EL ratio statistic is a weighted sum of independent chi-square distributions. Confidenceregions are constructed for the parameter vector based on the newly developed empirical likelihood theorem, aswell as for the covariate-specific AUC. Simulation studies were conducted to compare the relative performanceof the proposed EL-based methods with the existing method in AUC regression. Finally, the proposed methodsare illustrated with a real data set.

     

    報告人簡介:楊寶瑩,女,2011. 1-至今kaiyun開云官方網(wǎng)站任教

    教育經(jīng)歷:

    2006. 9-2010. 12        四川大學(xué)kaiyun開云官方網(wǎng)站獲博士學(xué)位

     (期間2008. 1-2010. 1 公派到美國佐治亞州立大學(xué)數(shù)學(xué)與統(tǒng)計系學(xué)習(xí)深造)

    2003. 9-2006. 7        四川大學(xué)kaiyun開云官方網(wǎng)站獲碩士學(xué)位

    1999. 9-2003. 7        四川大學(xué)kaiyun開云官方網(wǎng)站獲學(xué)士學(xué)位

     

     

    報告時間:20141216日下午2:00-4:00

    報告地點:kaiyun開云官方網(wǎng)站會議室X2511

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