Add to ORKGIn multiple hypotheses testing, it is important to control the probability of rejecting true null ...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
Published in at http://dx.doi.org/10.1214/08-EJS180 the Electronic Journal of Statistics (http://www...
Controlling the false discovery rate (FDR) is a powerful approach to multiple testing, with procedur...
Abstract: Procedures controlling error rates measuring at least k false rejections, instead of at le...
The false discovery rate (FDR) first introduced in Benjamini and Hochberg (1995) is a powerful appro...
International audienceIn a context of multiple hypothesis testing, we provide several new exact calc...
In the context of multiple hypothesis testing, the proportion p 0 of true null hypotheses in the poo...
International audienceHow to weigh the Benjamini-Hochberg procedure? In the context of multiple hypo...
For the problems of multiple hypotheses testing, Benjamini and Hochberg (1995, J. Roy. Statist. Soc....
Multiple testing, a situation where multiple hypothesis tests are performed simultaneously, is a cor...
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than sin...
International audienceThe False Discovery Rate (FDR) is a commonly used type I error rate in multipl...
The false discovery rate (FDR) has been a widely used error measure in situations where a large numb...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...
Published in at http://dx.doi.org/10.1214/08-EJS180 the Electronic Journal of Statistics (http://www...
Controlling the false discovery rate (FDR) is a powerful approach to multiple testing, with procedur...
Abstract: Procedures controlling error rates measuring at least k false rejections, instead of at le...
The false discovery rate (FDR) first introduced in Benjamini and Hochberg (1995) is a powerful appro...
International audienceIn a context of multiple hypothesis testing, we provide several new exact calc...
In the context of multiple hypothesis testing, the proportion p 0 of true null hypotheses in the poo...
International audienceHow to weigh the Benjamini-Hochberg procedure? In the context of multiple hypo...
For the problems of multiple hypotheses testing, Benjamini and Hochberg (1995, J. Roy. Statist. Soc....
Multiple testing, a situation where multiple hypothesis tests are performed simultaneously, is a cor...
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than sin...
International audienceThe False Discovery Rate (FDR) is a commonly used type I error rate in multipl...
The false discovery rate (FDR) has been a widely used error measure in situations where a large numb...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
In multiple hypotheses testing, it is important to control the probability of rejecting true null ...
Popular procedures to control the chance of making type I errors when multiple statistical tests are...