{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T06:54:20Z","timestamp":1790405660229,"version":"4.1.0"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100005895","name":"Fred Hutchinson Cancer Research Center","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005895","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"US 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":[[2002,1,1]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Many disease processes are characterized by two or more successive health states, and it is often of interest and importance to assess state-specific covariate effects. However, with incomplete follow-up data such inference has not been satisfactorily addressed in the literature. We model the logarithm-transformed sojourn time in each state as linearly related to the covariates; however, neither the distributional form of the error term nor the dependence structure of the states needs to be specified. We propose a regression procedure to accommodate incomplete follow-up data. Asymptotic theory is presented, along with some tools for goodness-of-fit diagnostics. Simulation studies show that the proposal is reliable for practical use. We illustrate it by application to a cancer clinical trial.<\/jats:p>","DOI":"10.1111\/1467-9868.00322","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T19:37:03Z","timestamp":1047497823000},"page":"17-29","source":"Crossref","is-referenced-by-count":21,"title":["Censored Regression with the Multistate Accelerated Sojourn Times Model"],"prefix":"10.1093","volume":"64","author":[{"given":"Yijian","family":"Huang","sequence":"first","affiliation":[{"name":"Fred Hutchinson Cancer Research Center , Seattle , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2002,3,12]]},"reference":[{"key":"2023040109013639700_","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/BF02613131","article-title":"Estimates of relative risk","volume":"34","author":"Begun","year":"1987","journal-title":"Metrika"},{"key":"2023040109013639700_","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1093\/biomet\/66.3.429","article-title":"Linear regression with censored data","volume":"66","author":"Buckley","year":"1979","journal-title":"Biometrika"},{"key":"2023040109013639700_","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1093\/biomet\/82.4.835","article-title":"Analysis of transformation models with censored data","volume":"82","author":"Cheng","year":"1995","journal-title":"Biometrika"},{"key":"2023040109013639700_","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1002\/sim.4780121009","article-title":"Cox regression models for quality adjusted survival analysis","volume":"12","author":"Cole","year":"1993","journal-title":"Statist. 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