Admissibility and Complete Classes for False Discovery Rate Control with E-values

The false discovery rate (FDR) is the most widely used error metric in modern multiple testing. We provide the first comprehensive analysis of the admissibility of e-value-based procedures with FDR control. We consider both simultaneous and point procedures and introduce strong and weak notions of dominance. We show that every simultaneous procedure is strongly, and hence weakly, dominated by an admissible weighted-mean closed e-Benjamini-Hochberg ($\overline{\mathrm{eBH}}$) procedure, so weighted-mean $\overline{\mathrm{eBH}}$ procedures form a complete class. Moreover, every constant-free weighted-mean $\overline{\mathrm{eBH}}$ procedure is admissible at every level. Within the symmetric class, the usual mean $\overline{\mathrm{eBH}}$ procedure is the largest element if and only if the FDR level is small enough; otherwise this class has no largest element. We also obtain results on the admissibility of symmetric $\overline{\mathrm{eBH}}$ procedures with non-zero constant terms, and give guidance on the choice of the constant terms. Point e-testing procedures have a parallel theory for admissibility, where point weighted-mean $\overline{\mathrm{eBH}}$ procedures form a complete class. These results highlight the central role of weighted-mean $\overline{\mathrm{eBH}}$ procedures in multiple testing.