{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:42:32Z","timestamp":1753875752020,"version":"3.41.2"},"reference-count":48,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T00:00:00Z","timestamp":1724112000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>We consider the problem of constructing multiple independent conditional randomization tests using a single dataset. Because the tests are independent, the randomization p-values can be interpreted individually and combined using standard methods for multiple testing. We give a simple, sequential construction of such tests and then discuss its application to three problems: Rosenbaum\u2019s evidence factors for observational studies, lagged treatment effects in stepped-wedge trials, and spillover effects in randomized trials with interference. We compare the proposed approach with some existing methods using simulated and real datasets. Finally, we establish a more general sufficient condition for independent conditional randomization tests.<\/jats:p>","DOI":"10.1093\/biomet\/asae042","type":"journal-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T20:02:44Z","timestamp":1724184164000},"source":"Crossref","is-referenced-by-count":0,"title":["Multiple conditional randomization tests for lagged and spillover treatment effects"],"prefix":"10.1093","volume":"112","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8371-766X","authenticated-orcid":false,"given":"Yao","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Statistics, Stanford University , 390 Jane Stanford Way, Stanford, California 94305,","place":["USA"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9902-2768","authenticated-orcid":false,"given":"Qingyuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge , Wilberforce Road , Cambridge CB3 0WB,","place":["UK"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2024,8,20]]},"reference":[{"key":"2025012017225024000_asae042-B1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/0049124112437535","article-title":"A general method for detecting interference between units in randomized experiments","volume":"41","author":"Aronow","year":"2012","journal-title":"Sociol. 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