{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T10:56:00Z","timestamp":1785495360992,"version":"3.56.0"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T00:00:00Z","timestamp":1700784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>Interval-censored multistate data arise in many studies of chronic diseases, where the health status of a subject can be characterized by a finite number of disease states and the transition between any two states is only known to occur over a broad time interval. We relate potentially time-dependent covariates to multistate processes through semiparametric proportional intensity models with random effects. We study nonparametric maximum likelihood estimation under general interval censoring and develop a stable expectation-maximization algorithm. We show that the resulting parameter estimators are consistent and that the finite-dimensional components are asymptotically normal with a covariance matrix that attains the semiparametric efficiency bound and can be consistently estimated through profile likelihood. In addition, we demonstrate through extensive simulation studies that the proposed numerical and inferential procedures perform well in realistic settings. Finally, we provide an application to a major epidemiologic cohort study.<\/jats:p>","DOI":"10.1093\/biomet\/asad073","type":"journal-article","created":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T03:19:04Z","timestamp":1700882344000},"page":"971-988","source":"Crossref","is-referenced-by-count":10,"title":["Maximum likelihood estimation for semiparametric regression models with interval-censored multistate data"],"prefix":"10.1093","volume":"111","author":[{"given":"Yu","family":"Gu","sequence":"first","affiliation":[{"name":"Department of Statistics and Actuarial Science, The University of Hong Kong , Pokfulam Road , Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donglin","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Michigan , 1415 Washington Heights, Ann Arbor , Michigan 48109, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gerardo","family":"Heiss","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of North Carolina at Chapel Hill , 137 East Franklin Street , Chapel Hill, North Carolina 27599, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0150-3115","authenticated-orcid":false,"given":"D Y","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of North Carolina at Chapel Hill , 3101E McGavran-Greenberg Hall , Chapel Hill, North Carolina 27599, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,11,24]]},"reference":[{"key":"2024090419282980000_asad073-B1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-4348-9","volume-title":"Statistical Models Based on Counting Processes","author":"Andersen","year":"1993"},{"key":"2024090419282980000_asad073-B2","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1093\/biostatistics\/3.3.407","article-title":"A generalized Mover-Stayer model for panel data","volume":"3","author":"Cook","year":"2002","journal-title":"Biostatistics"},{"key":"2024090419282980000_asad073-B3","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1093\/biostatistics\/kxz047","article-title":"Independence conditions and the analysis of life history studies with intermittent observation","volume":"22","author":"Cook","year":"2021","journal-title":"Biostatistics"},{"key":"2024090419282980000_asad073-B4","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1111\/j.0006-341X.2004.00188.x","article-title":"A conditional Markov model for clustered progressive multistate processes under incomplete observation","volume":"60","author":"Cook","year":"2004","journal-title":"Biometrics"},{"key":"2024090419282980000_asad073-B5","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1212\/WNL.41.7.1006","article-title":"Mild cognitive impairment in the elderly: predictors of dementia","volume":"41","author":"Flicker","year":"1991","journal-title":"Neurology"},{"key":"2024090419282980000_asad073-B6","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1002\/sim.4780130803","article-title":"Multi-state Markov models for analysing incomplete disease history data with illustrations for HIV disease","volume":"13","author":"Gentleman","year":"1994","journal-title":"Statist. 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