Dependency and false discovery rate: Asymptotics
نویسندگان
چکیده
منابع مشابه
Private False Discovery Rate Control
We provide the first differentially private algorithms for controlling the false discovery rate (FDR) in multiple hypothesis testing, with essentially no loss in power under certain conditions. Our general approach is to adapt a well-known variant of the Benjamini-Hochberg procedure (BHq), making each step differentially private. This destroys the classical proof of FDR control. To prove FDR co...
متن کاملImproving false discovery rate estimation
MOTIVATION Recent attempts to account for multiple testing in the analysis of microarray data have focused on controlling the false discovery rate (FDR). However, rigorous control of the FDR at a preselected level is often impractical. Consequently, it has been suggested to use the q-value as an estimate of the proportion of false discoveries among a set of significant findings. However, such a...
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...
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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 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...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2007
ISSN: 0090-5364
DOI: 10.1214/009053607000000046