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Regression Analysis of Bivariate Current Status Data Using a Multistate Model

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dc.contributor.authorKim, Yang-Jin-
dc.date.available2021-02-22T12:01:32Z-
dc.date.created2020-09-03-
dc.date.issued2014-01-
dc.identifier.issn0361-0918-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/11008-
dc.description.abstractWe consider bivariate current status data with death which often occur in animal tumorigenicity experiments. Instead of observing exact tumor onset time, the existence of tumor is known at death time or sacrifice time. Such an incomplete data structure makes it difficult to investigate the effect of treatment on tumor onset times. Furthermore, when tumor onsets occur at two sites, information for the order of their onsets is unknown. A multistate model is applied to incorporate the sequential occurrence of events. For the inference of parameters, an EM algorithm is applied and a real NTP (National Toxicology Program) dataset is analyzed as an illustrative example.-
dc.language영어-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS INC-
dc.titleRegression Analysis of Bivariate Current Status Data Using a Multistate Model-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Yang-Jin-
dc.identifier.doi10.1080/03610918.2012.705937-
dc.identifier.scopusid2-s2.0-84884996779-
dc.identifier.wosid000324671500002-
dc.identifier.bibliographicCitationCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.43, no.3, pp.462 - 475-
dc.relation.isPartOfCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION-
dc.citation.titleCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION-
dc.citation.volume43-
dc.citation.number3-
dc.citation.startPage462-
dc.citation.endPage475-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordPlusFAILURE TIME DATA-
dc.subject.keywordPlusTUMORIGENICITY EXPERIMENTS-
dc.subject.keywordPlusFRAILTY MODEL-
dc.subject.keywordPlusDEATH-
dc.subject.keywordAuthorBivariate current status data-
dc.subject.keywordAuthorEM algorithm-
dc.subject.keywordAuthorMultistate model-
dc.subject.keywordAuthorTumorigenicity-
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