The false discovery rate for statistical pattern recognition
نویسندگان
چکیده
منابع مشابه
The false discovery rate for statistical pattern recognition
Abstract: The false discovery rate (FDR) and false nondiscovery rate (FNDR) have received considerable attention in the literature on multiple testing. These performance measures are also appropriate for classification, and in this work we develop generalization error analyses for FDR and FNDR when learning a classifier from labeled training data. Unlike more conventional classification perform...
متن کاملDiscovering the false discovery rate
Our work on the false discovery rate (FDR), and the paper Benjamini andHochberg (1995), has its origins in two papers concerned with multiple testing ofm hypotheses of which unknownm0 are true. First was Schweder and Spjøtvoll (1982), who suggested plotting the ranked p-values, assessingm0 via an eye-fitted line, and rejecting the otherm−m0 hypotheses. In Hochberg and Benjamini (1990) we develo...
متن کاملFalse discovery rate for scanning statistics
The false discovery rate is a criterion for controlling Type I error in simultaneous testing of multiple hypotheses. For scanning statistics, due to local dependence, clusters of neighbouring hypotheses are likely to be rejected together. In such situations, it is more intuitive and informative to group neighbouring rejections together and count them as a single discovery, with the false discov...
متن کاملThe False Discovery Rate in Simultaneous Fisher and Adjusted Permutation Hypothesis Testing on Microarray Data
Background and Objectives: In recent years, new technologies have led to produce a large amount of data and in the field of biology, microarray technology has also dramatically developed. Meanwhile, the Fisher test is used to compare the control group with two or more experimental groups and also to detect the differentially expressed genes. In this study, the false discovery rate was investiga...
متن کاملOptimal weighting for false discovery rate control
How to weigh the Benjamini-Hochberg procedure? In the context of multiple hypothesis testing, we propose a new step-wise procedure that controls the false discovery rate (FDR) and we prove it to be more powerful than any weighted Benjamini-Hochberg procedure. Both finitesample and asymptotic results are presented. Moreover, we illustrate good performance of our procedure in simulations and a ge...
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ژورنال
عنوان ژورنال: Electronic Journal of Statistics
سال: 2009
ISSN: 1935-7524
DOI: 10.1214/09-ejs363