%0 Journal Article
%T Statistical Application in Economics
%A June Luo
%J Open Journal of Statistics
%P 120-123
%@ 2161-7198
%D 2012
%I Scientific Research Publishing
%R 10.4236/ojs.2012.21013
%X Statisticians have recently proposed some methods for ranking the gene variables with outlier expressions. The major attraction of these methods is their ability to select the variables which show systematic decrease or increase in only a subset of samples in the disease group. In order to fully account for the outliers, in this article, we truncate the expression values and propose an alternative method to rank the variables with systematic increase or decrease. The proposed statistic is very simple to implement. Simulations and real data study show that the proposed statistic has a more powerful ability to rank the variables than some methods in literature.
%K Truncate Statistics
%K ROC Curve
%K False Discovery Rate
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=17144