FDR adjusted p-values associated with Spearman correlations between relative abundance (RA) of OTUs belonging to the major core microbiota and qPCR results.Cédric, BernardeMarlène, KeravecJérôme, MounierStéphanie, GouriouGilles, Ra...
Function to calculate FDR adjusted p-valuesLukas Meier
Given a set of p-values, returns p-values adjusted using one of several methods. Usage p.adjust(p, method = p.adjust.methods, n = length(p)) p.adjust.methods # c("holm", "hochberg", "hommel", "bonferroni", "BH", "BY", # "fdr", "none") Arguments Details The adjustment metho...
Now, the q-value approach tries to find the height where the p-value distribution flattens out and incorporates this height value into the calculation of FDR adjusted p-values. We can see this in the histogram below. This approach helps to establish just how many of the significant values ...
find regions from the adjusted p-values. Inputs and outputs to each step are BED files. Note that any of these steps can be run independently, e.g. to do multiple testing correction on a BED file with p-values, just call the fdr.py script. ...
Adjusted p -valuesMultiple comparisonsMultiple testsMultivariate normal distributionRobust statisticsSimultaneous confidence intervalsSimultaneous inference is a common ... T Hothorn,F Bretz,P Westfall - 《Biometrical Journal》 被引量: 6769发表: 2008年 Resampling-based multiple testing for microarray data an...
Notes on adjusted p-values and facet. When using the ggplot facet functions, the p-values are computed and adjusted by panel, without taking into account the other panels. This is by design in ggplot2. In this case, when there is only one computed p-value by panel, then using `label ...
Bootstrap p-Values 0.5 计算引导水平值的方法说明书 Package‘boot.pval’September28,2023 Title Bootstrap p-Values Version0.5 Description Computation of bootstrap p-values through inversion of confidence intervals,includ-ing convenience functions for regression models.License MIT+file LICENSE Encodin...
Benjamini (Citation2019) warned that “selective inference is the silent killer of replicability,” because it inflates the evidence, making it appear stronger than it actually is unless the nature of the selection is reported and adjusted for in the analysis. It is important to realize that mul...
Significant relationships between brain structures and polysomnographic variables after FDR correction (adjusted p-values are reported). The classical tests for combining p-values use suitable statistics T (P 1 , ... , P n) , which are based on the assumption that the observed p-values are ...