The p-filter : multi-layer FDR control for grouped hypotheses

  title={The p-filter : multi-layer FDR control for grouped hypotheses},
  author={Rina Foygel Barber and Aaditya Ramdas},
In many practical applications of multiple testing, there are natural ways to partition the hypotheses into groups using the structural, spatial or temporal relatedness of the hypotheses, and this prior knowledge is not used in the classical Benjamini-Hochberg (BH) procedure for controlling the false discovery rate (FDR). When one can define (possibly several) such partitions, it may be desirable to control the group-FDR simultaneously for all partitions (as special cases, the “finest… CONTINUE READING
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Selective inference on multiple families of hypotheses

  • Yoav Benjamini, Marina Bogomolov
  • Journal of the Royal Statistical Society: Series…
  • 2014
Highly Influential
8 Excerpts

A Language and Environment for Statistical Computing

  • R R Core Team
  • R Foundation for Statistical Computing, Vienna,
  • 2015
1 Excerpt

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