We define an adaptive procedure for control of the false discovery rate that is uniformly more powerful than the procedure of Benjamini and Hochberg. The power gain is tiny, however, and only appreciable for small numbers of hypotheses. We illustrate the new method with the case of two hypotheses, for which so far no procedure was known that controls false discovery rate but not also familywise error rate under positive dependence.

Solari, A., Goeman, J. (2017). Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg. BIOMETRICAL JOURNAL, 59(4), 776-780 [10.1002/bimj.201500253].

Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg

SOLARI, ALDO
;
2017

Abstract

We define an adaptive procedure for control of the false discovery rate that is uniformly more powerful than the procedure of Benjamini and Hochberg. The power gain is tiny, however, and only appreciable for small numbers of hypotheses. We illustrate the new method with the case of two hypotheses, for which so far no procedure was known that controls false discovery rate but not also familywise error rate under positive dependence.
Articolo in rivista - Articolo scientifico
Adaptive; False discovery rate; Multiple testing; Stepping down;
Adaptive; False discovery rate; Multiple testing; Stepping down; Statistics and Probability; Medicine (all); Statistics, Probability and Uncertainty
English
2017
59
4
776
780
reserved
Solari, A., Goeman, J. (2017). Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg. BIOMETRICAL JOURNAL, 59(4), 776-780 [10.1002/bimj.201500253].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/137897
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