4497 Accessible False Discovery Rate Computation
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...
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 کاملRobust estimation of the false discovery rate
MOTIVATION Presently available methods that use p-values to estimate or control the false discovery rate (FDR) implicitly assume that p-values are continuously distributed and based on two-sided tests. Therefore, it is difficult to reliably estimate the FDR when p-values are discrete or based on one-sided tests. RESULTS A simple and robust method to estimate the FDR is proposed. The proposed ...
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ژورنال
عنوان ژورنال: Journal of Clinical and Translational Science
سال: 2020
ISSN: 2059-8661
DOI: 10.1017/cts.2020.164