False Discovery Rate
Daniela Cocchi, Massimo Ventrucci
Abstract
Daniela Cocchi, Massimo Ventrucci
Abstract
Abstract The false discovery rate is the expected value of the ratio of wrongly rejected null hypotheses over the total rejected null hypotheses. In modern multiple testing applications, especially in cases where the number of tests is large, methodologies based on the control of the false discovery rate have proved to be more powerful than classical multiple comparison procedures.
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Abstract The false discovery rate is the expected value of the ratio of wrongly rejected null hypotheses over the total rejected null hypotheses. In modern multiple testing applications, especially in cases where the number of tests is large, methodologies based on the control of the false discovery rate have proved to be more powerful than classical multiple comparison procedures.
Key concepts: False discovery rate, Null hypothesis, Null (SQL), Multiple comparisons problem, Statistical hypothesis testing, p-value, Alternative hypothesis, Value (mathematics)