<p>Both quantities assume a two-component <i>p</i>-value distribution: “null” <i>p</i>-values are uniformly distributed (with height <i>π</i><sub>0</sub> <i>≤</i> 1), and “alternative” <i>p</i>-values that should peak at <i>p</i> = 0. The area of the null component with <i>p ≤ t</i> is simply <i>π</i><sub>0</sub><i>t</i>, while the total area is the cumulative density function <i>F</i>(<i>t</i>). The total height at <i>t</i> is the density function <i>f</i>(<i>t</i>). The FDR is the proportion of the area with <i>p ≤ t</i> that corresponds to the null component. The lFDR parallels the FDR but is a ratio of densities (heights) rather than areas.</p
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
In this note we give a proof showing that even though the number of false discoveries and the total ...
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on emp...
<p><b>Copyright information:</b></p><p>Taken from "A unified approach to false discovery rate estima...
<p>As expected the number of peaks and their width are reduced as coverage is reduced. A) The mean n...
In each set of boxes corresponding to the dataset, different percentages (P) of simulated DA feature...
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than sin...
<p>Comparing the false discovery rate (fdr) adjusted obtained from an analysis of both datasets usi...
Multiple testing is a fundamental problem in high-dimensional statistical inference. Although many m...
Abstract Background False discovery rate (FDR) methods play an important role in analyzing high-dime...
The false discovery proportion (FDP) is a useful measure of abundance of false positives when a larg...
<p>Table entries W/X/Y/Z give the true averaged probability (W), followed by the estimated averaged ...
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
This paper defines a new class of methods for local false discovery rate (fdr) estimation based on t...
Motivation Presently available methods that use p-values to estimate or control the false discovery ...
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
In this note we give a proof showing that even though the number of false discoveries and the total ...
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on emp...
<p><b>Copyright information:</b></p><p>Taken from "A unified approach to false discovery rate estima...
<p>As expected the number of peaks and their width are reduced as coverage is reduced. A) The mean n...
In each set of boxes corresponding to the dataset, different percentages (P) of simulated DA feature...
Summary. Multiple-hypothesis testing involves guarding against much more complicated errors than sin...
<p>Comparing the false discovery rate (fdr) adjusted obtained from an analysis of both datasets usi...
Multiple testing is a fundamental problem in high-dimensional statistical inference. Although many m...
Abstract Background False discovery rate (FDR) methods play an important role in analyzing high-dime...
The false discovery proportion (FDP) is a useful measure of abundance of false positives when a larg...
<p>Table entries W/X/Y/Z give the true averaged probability (W), followed by the estimated averaged ...
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
This paper defines a new class of methods for local false discovery rate (fdr) estimation based on t...
Motivation Presently available methods that use p-values to estimate or control the false discovery ...
Recent multiple testing (see also Multiple comparisons) applications have benefited from the introd...
In this note we give a proof showing that even though the number of false discoveries and the total ...
Some extended false discovery rate (FDR) controlling multiple testing procedures rely heavily on emp...