{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T04:11:49Z","timestamp":1790136709734,"version":"4.0.1"},"reference-count":30,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,2,17]],"date-time":"2023-02-17T00:00:00Z","timestamp":1676592000000},"content-version":"vor","delay-in-days":2601,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DSM-1309210"],"award-info":[{"award-number":["DSM-1309210"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"China's National Natural Science Foundation","doi-asserted-by":"publisher","award":["11131002"],"award-info":[{"award-number":["11131002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"China's National Natural Science Foundation","doi-asserted-by":"publisher","award":["71371016"],"award-info":[{"award-number":["71371016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Basic Research Program","award":["2015CB856000"],"award-info":[{"award-number":["2015CB856000"]}]},{"name":"Center for Statistical Science and Laboratory of Mathematical Economics and Quantity Finance at Peking University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,11,1]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>We consider testing regression coefficients in high dimensional generalized linear models. By modifying the test statistic of Goeman and his colleagues for large but fixed dimensional settings, we propose a new test, based on an asymptotic analysis, that is applicable for diverging dimensions and is robust to accommodate a wide range of link functions. The power properties of the tests are evaluated asymptotically under two families of alternative hypotheses. In addition, a test in the presence of nuisance parameters is also proposed. The tests can provide p-values for testing significance of multiple gene sets, whose application is demonstrated in a case-study on lung cancer.<\/jats:p>","DOI":"10.1111\/rssb.12152","type":"journal-article","created":{"date-parts":[[2016,1,4]],"date-time":"2016-01-04T09:33:40Z","timestamp":1451900020000},"page":"1079-1102","source":"Crossref","is-referenced-by-count":49,"title":["Tests for High Dimensional Generalized Linear Models"],"prefix":"10.1093","volume":"78","author":[{"given":"Bin","family":"Guo","sequence":"first","affiliation":[{"name":"Sichuan University , Chengdu , People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song Xi","family":"Chen","sequence":"additional","affiliation":[{"name":"Peking University , Beijing , People\u2019s Republic of China"},{"name":"Iowa State University , Ames , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2016,1,4]]},"reference":[{"key":"2023021801092631700_rssb12152-cit-0001","first-page":"311","article-title":"Effect of high dimension: by an example of two sample problem","volume":"6","author":"Bai","year":"1996","journal-title":"Statist. 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