{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T21:39:39Z","timestamp":1776375579094,"version":"3.51.2"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T00:00:00Z","timestamp":1728432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,16]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>We discover a connection between the Benjamini\u2013Hochberg procedure and the e-Benjamini\u2013Hochberg procedure (Wang &amp; Ramdas, 2022) with a suitably defined set of e-values. This insight extends to Storey\u2019s procedure and generalized versions of the Benjamini\u2013Hochberg procedure and the model-free multiple testing procedure of Barber &amp; Cand\u00e9s (2015) with a general form of rejection rules. We further summarize these findings in a unified form. These connections open up new possibilities for designing multiple testing procedures in various contexts by aggregating e-values from different procedures or assembling e-values from different data subsets.<\/jats:p>","DOI":"10.1093\/biomet\/asae050","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:34:34Z","timestamp":1728495274000},"source":"Crossref","is-referenced-by-count":3,"title":["A note on <i>e<\/i>-values and multiple testing"],"prefix":"10.1093","volume":"112","author":[{"given":"Guanxun","family":"Li","sequence":"first","affiliation":[{"name":"Department of Statistics, Beijing Normal University at Zhuhai , 18 Jinfeng Road , Zhuhai, Guangdong 519087, , guanxun@bnu.edu.cn","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2512-1816","authenticated-orcid":false,"given":"Xianyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Statistics, Texas A&M University , 400 Bizzell Street, College Station , Texas 77843, U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2024,10,9]]},"reference":[{"key":"2025012017213495800_asae050-B1","author":"Banerjee","year":"2023"},{"key":"2025012017213495800_asae050-B2","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1214\/15-AOS1337","article-title":"Controlling the false discovery rate via knockoffs","volume":"43","author":"Barber","year":"2015","journal-title":"Ann. 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