How to estimate the local false discovery rates of one or more hypothesis tests
What is it about?
This paper applies methods of estimating the local false discovery rate to one or more hypothesis tests.
Why is it important?
In testing many hypotheses, the importance of local discovery rates is that they strike a balance between the excessive false negatives of adjusted p values and the excessive false positives of non-local false discovery rates. This paper explores the possibility that the advantages of the local false discovery rate also apply to the case of very few hypotheses or even to one hypothesis.
The following have contributed to this page: David R. Bickel
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