{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T12:04:11Z","timestamp":1784030651470,"version":"3.55.0"},"reference-count":41,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["RF1AG063481"],"award-info":[{"award-number":["RF1AG063481"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The attributable fraction among the exposed (AFe) is the proportion of disease cases among the exposed that could be avoided by eliminating the exposure. In this article, we propose a new approach to reduce sensitivity to hidden bias for conducting statistical inference on the AFe by leveraging case description information such as subtype of cancer. The proposed method is examined through an asymptotic tool, design sensitivity, simulation studies, and case studies of alcohol consumption and the risk of postmenopausal invasive breast cancer utilizing information on the subtype of cancer using data from the Women\u2019s Health Initiative Observational Study allowing the possibility that leveraging case definition information may introduce selection bias through an additional sensitivity parameter.<\/jats:p>","DOI":"10.1093\/jrsssa\/qnaf066","type":"journal-article","created":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:51:53Z","timestamp":1750233113000},"page":"1340-1356","source":"Crossref","is-referenced-by-count":0,"title":["Using case description information to reduce sensitivity to bias for the attributable fraction among the exposed"],"prefix":"10.1093","volume":"189","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4519-1894","authenticated-orcid":false,"given":"Kan","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Biostatistics, Harvard University , 677 Huntington Avenue, Boston, MA 02115-6028 ,","place":["USA"]},{"name":"Department of Statistics and Data Science, University of Pennsylvania , 3rd & 4th Floors, 265 S 37th St, Philadelphia 19104-1686 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Epidemiology & Biostatistics, UCSF , 550 16th St 2nd floor, San Francisco, CA 94158-2549 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M Elizabeth","family":"Halloran","sequence":"additional","affiliation":[{"name":"Fred Hutchinson Cancer Research Center , 1100 Fairview Ave N, Seattle, WA 98109-1024 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4928-2646","authenticated-orcid":false,"given":"Dylan S","family":"Small","sequence":"additional","affiliation":[{"name":"Department of Statistics and Data Science, University of Pennsylvania , 3rd & 4th Floors, 265 S 37th St, Philadelphia 19104-1686 ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2025,7,1]]},"reference":[{"issue":"457","key":"2026071407112418100_qnaf066-B1","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1198\/016214502753479374","article-title":"Recursive combination tests","volume":"97","author":"Brannath","year":"2002","journal-title":"Journal of the American Statistical Association"},{"key":"2026071407112418100_qnaf066-B2","volume-title":"Statistical methods in cancer research. 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