2 citations · 2 across the 2 of their papers we have counts for
3 papers
DiscreteFDR: An R package for controlling the false discovery rate for discrete test statistics
Guillermo Durand, Florian Junge, Sebastian Döhler +1
The simultaneous analysis of many statistical tests is ubiquitous in applications. Perhaps the most popular error rate used for avoiding type one error inflation is the false disco…
Post hoc false positive control for spatially structured hypotheses
Guillermo Durand, Gilles Blanchard, Pierre Neuvial +1
In a high dimensional multiple testing framework, we present new confidence bounds on the false positives contained in subsets S of selected null hypotheses. The coverage probabili…
Improving the Benjamini-Hochberg Procedure for Discrete Tests
Sebastian Döhler, Guillermo Durand, Etienne Roquain
To find interesting items in genome-wide association studies or next generation sequencing data, a crucial point is to design powerful false discovery rate (FDR) controlling proced…