32 citations · 35 across the 3 of their papers we have counts for
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stat.ME2012★ 2 cited
Effect Size Estimation and Misclassification Rate Based Variable Selection in Linear Discriminant Analysis
Bernd Klaus
Supervised classifying of biological samples based on genetic information, (e.g. gene expression profiles) is an important problem in biostatistics. In order to find both accurate…
stat.ME2011★ 32 cited
Signal Identification for Rare and Weak Features: Higher Criticism or False Discovery Rates?
Bernd Klaus, Korbinian Strimmer
Signal identification in large-dimensional settings is a challenging problem in biostatistics. Recently, the method of higher criticism (HC) was shown to be an effective means for…
stat.ME2011★ 1 cited
Learning false discovery rates by fitting sigmoidal threshold functions
Bernd Klaus, Korbinian Strimmer
False discovery rates (FDR) are typically estimated from a mixture of a null and an alternative distribution. Here, we study a complementary approach proposed by Rice and Spiegelha…