报告题目：Weighted Area Under the Receiver Operating Characteristic Curve and Its Application to Gene Selection

时间：2011年12月8日（星期四）下午15:00-16:00

地点：虎溪校区数统学院楼3楼301室

内容简介：Partial area under the ROC curve (PAUC) has been proposed for gene selection in recent literatures and thereafter applied in real data analysis. It was noticed from empirical studies that this measure has several key weaknesses, such as an inability to reflect nonuniform weighting of different decision thresholds, resulting in large numbers of ties.  We propose the weighted area under the ROC curve (WAUC) in this paper to address the problems associated with PAUC. Our proposed measure enjoys a greater flexibility to describe the discrimination accuracy of genes. Nonparametric and parametric estimation methods are introduced, including PAUC as a special case, along with theoretical properties of the estimators. We also provide a simple variance formula, yielding a novel variance estimator for nonparametric estimation of PAUC, which has proven challenging in previous work. The proposed methods permit sensitivity analyses, whereby the impact of differing weight functions on gene rankings may be assessed and results may be synthesized across weights. Simulations and re-analysis of a well-known microarray dataset illustrate the practical utility of WAUC.

栗家量博士简介：

    栗家量博士毕业于美国威斯康辛大学，目前就职于新加坡国立大学统计与应用概率系。在Journal of the American Statistical Association，Journal of the Royal Statistical Society Series C，American Journal of Kidney Disease等著名统计和医学期刊上发表论文50余篇，担任统计期刊Biometrics副主编，主要研究领域包括Nonparametric and semiparametric inferences; Diagnostic medicine; Survival analysis; Longitudinal data analysis; Epidemiology等。