the null is rejected (the positive), yet the null is true (hence, a false positive). The expected portion of false positives is the false discovery rate (FDR).
Definition The false discovery rate (FDR) is a statistical approach used in multiple hypothesis testing to correct for multiple comparisons. It is typically used in high-throughput experiments in order to correct for random events that falsely appear significant. When testing a null hypothesis to ...
False Discovery Rate (FDR) is a statistical method used in neuroscience to correct for multiple comparisons. It is a less conservative approach compared to traditional methods, such as the Bonferroni correction. FDR adjusts for the distribution of p values in the data and balances the trade-off...
False Discovery Rate Approach to Unsupervised Image Change Detection In this paper, we address the problem of unsupervised change detection on two or more coregistered images of the same object or scene at several time insta... VA Krylov,G Moser,SB Serpico,... - 《IEEE Transactions on Image...
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple TestingAuthor(s): Yoav Benjamini and Yosef HochbergSource: Journal of the Royal Statistical Society. Series B (Methodological), Vol. 57, No. 1(1995), pp. 289-300Published by: Blackwell Publishing for the Royal...
False Discovery Rate (FDR) 来自 Springer 喜欢 0 阅读量: 119 作者: S Rouam 摘要: Definition The false discovery rate (FDR) is a statistical approach used in multiple hypothesis testing to correct for multiple comparisons. It is typically used in high-throughput experiments in order to correct ...
false discovery rate随打随译 世界领先的质量 拖放文件 立刻翻译 ▾外部资源(未审查的) The financial penalties for failing to pay the minimum wage rate and making a false report to the enforcement agency vary in this research. legco.gov.hk 沒有按最低工資額支付薪酬及向執行機 關呈交虛假報告...
Analyze the residuals of the robust fit, and determine whether one or more values are outliers. To do this, we developed a new outlier test adapted from the False Discovery Rate approach of testing for multiple comparisons. 3. Remove the outliers, and perform ordinary least-squares regression ...
By generalizing the false discovery rate (FDR) approach from multiple testing to selected multiple CIs, we suggest the false coverage-statement rate (FCR) as a measure of interval coverage following selection. A general procedure is then introduced, offering FCR control at level q under any ...
False discovery rate (FDR) is widely used in the analysis of large-scale microarray data to account for problems associated with multiple testing. A well-designed microarray study should have adequate statistical power to detect the differentially expressed (DE) genes, while keeping the FDR ...