The Annals of Statistics
- Ann. Statist.
- Volume 39, Number 1 (2011), 584-612.
Exact calculations for false discovery proportion with application to least favorable configurations
In a context of multiple hypothesis testing, we provide several new exact calculations related to the false discovery proportion (FDP) of step-up and step-down procedures. For step-up procedures, we show that the number of erroneous rejections conditionally on the rejection number is simply a binomial variable, which leads to explicit computations of the c.d.f., the sth moment and the mean of the FDP, the latter corresponding to the false discovery rate (FDR). For step-down procedures, we derive what is to our knowledge the first explicit formula for the FDR valid for any alternative c.d.f. of the p-values. We also derive explicit computations of the power for both step-up and step-down procedures. These formulas are “explicit” in the sense that they only involve the parameters of the model and the c.d.f. of the order statistics of i.i.d. uniform variables. The p-values are assumed either independent or coming from an equicorrelated multivariate normal model and an additional mixture model for the true/false hypotheses is used. Our approach is then used to investigate new results which are of interest in their own right, related to least/most favorable configurations for the FDR and the variance of the FDP.
Ann. Statist. Volume 39, Number 1 (2011), 584-612.
First available in Project Euclid: 15 February 2011
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Roquain, Etienne; Villers, Fanny. Exact calculations for false discovery proportion with application to least favorable configurations. Ann. Statist. 39 (2011), no. 1, 584--612. doi:10.1214/10-AOS847. https://projecteuclid.org/euclid.aos/1297779857
- Supplementary material: Supplement to “Exact calculations for false discovery proportion with application to least favorable configurations”. Supplement which provides some proofs for the present paper.