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Sample size and positive false discovery rate control for multiple testing
Multiple hypothesis testing pFDR large deviations
2009/9/16
Positive false discovery rate (pFDR) is a useful overall measure of errors for multiple hypothesis testing, especially when the underlying goal is to attain one or more discoveries. Control of pFDR cr...
Asymptotic properties of false discovery rate controlling procedures under independence
Multiple hypothesis testing Benjamini-Hochberg procedure FDP FDR
2009/9/16
We investigate the performance of a family of multiple comparison procedures for strong control of the False Discovery Rate (FDR). The FDR is the expected False Discovery Proportion (FDP), that is, th...
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also positive FDR (pFDR) wi...
Optimal weighting for false discovery rate control
False discovery rate multiple testing p-value weighting power maximization
2009/9/16
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 mo...
The false discovery rate for statistical pattern recognition
Statistical learning theory generalization error false discovery rate
2009/9/16
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 classi...