ConReg-R: Extrapolative recalibration of the empirical distribution of p-values to improve false discovery rate estimates


False discovery rate (FDR) control is commonly accepted as the most appropriate error control in multiple hypothesis testing problems. The accuracy of FDR estimation depends on the accuracy of the estimation of p-values from each test and validity of the underlying assumptions of the distribution. However, in many practical testing problems such as in… (More)
DOI: 10.1186/1745-6150-6-27


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