{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:50:40Z","timestamp":1791593440594,"version":"4.3.4"},"reference-count":39,"publisher":"Wiley","issue":"23-24","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U54GM115458"],"award-info":[{"award-number":["U54GM115458"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder characterized by motor dysfunction, psychiatric disturbances, and cognitive decline. The onset of HD is marked by severe motor impairment, which may be predicted by prior cognitive decline and, in turn, exacerbate cognitive deficits. Clinical data, however, are often collected at discrete time points, so the timing of disease onset is subject to interval censoring. To address the challenges posed by such data, we develop a joint model for multivariate longitudinal biomarkers with a change point anchored at an interval\u2010censored event time. The model simultaneously assesses the effects of longitudinal biomarkers on the event time and the changes in biomarker trajectories following the event. We conduct a comprehensive simulation study to demonstrate the finite\u2010sample performance of the proposed method for statistical inference based on the asymptotic normality theorem. Finally, we apply the method to PREDICT\u2010HD, a multisite observational cohort study of prodromal HD individuals, to ascertain how cognitive impairment and motor dysfunction interact during disease progression.<\/jats:p>","DOI":"10.1002\/sim.70765","type":"journal-article","created":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:16:03Z","timestamp":1791591363000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Joint Analysis for Multivariate Longitudinal and Event Time Data With a Change Point Anchored at Interval\u2010Censored Event Time"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6697-5982","authenticated-orcid":false,"given":"Yue","family":"Zhan","sequence":"first","affiliation":[{"name":"Department of Biostatistics, College of Public Health University of Nebraska Medical Center  Omaha Nebraska USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6562-870X","authenticated-orcid":false,"given":"Cheng","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, College of Public Health University of Nebraska Medical Center  Omaha Nebraska USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9680-8981","authenticated-orcid":false,"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, College of Public Health University of Nebraska Medical Center  Omaha Nebraska USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,9]]},"reference":[{"issue":"10","key":"e_1_2_10_2_1","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1038\/nrneurol.2014.24","article-title":"Huntington Disease: Natural History, Biomarkers and Prospects for Therapeutics","volume":"7","author":"Ross C. 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