A Q‐Q plot aids interpretation of the false discovery rate
N. W. Galwey
Abstract
False discovery rates are routinely controlled by application of the Benjamini-Hochberg step-up procedure to a set of p-values. A method is demonstrated for representing the values so obtained (the BH-FDRs) on a quantile-quantile (Q-Q) plot of the p-values transformed to the negative-logarithmic scale. Recognition of this connection between the BH-FDR and the Q-Q plot facilitates both understanding of the meaning of the BH-FDR and interpretation of the BH-FDR in a particular data set.
Topics & Concepts
False discovery ratePlot (graphics)QuantileInterpretation (philosophy)LogarithmMathematicsStatisticsSet (abstract data type)Multiple comparisons problemData setComputer scienceBiologyMathematical analysisGeneticsProgramming languageGeneStatistical Methods in Clinical TrialsStatistical Methods and Bayesian InferenceStatistical Methods and Inference