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Semiparametric Latent Variable Models for Chronic Diseases with Responses of Multiple Types and Scales

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개인저자Chen, Yu-Pu.
단체저자명University of Michigan. Biostatistics.
서명/저자사항Semiparametric Latent Variable Models for Chronic Diseases with Responses of Multiple Types and Scales.
발행사항[S.l.] : University of Michigan., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항199 p.
소장본 주기School code: 0127.
ISBN9780438127111
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Alexander Tsodikov.
요약In chronic diseases, research often centers on discovering a latent trait trajectory that manifests itself through multiple response variables on different measurement scales. In longitudinal studies, it is common to collect multivariate respons
요약In Chapter II, we study survival models of cancer where a latent trait is responsible for the cure process. Traditional cure models assume that the cure status is determined at the beginning of the follow up. However, patients often receive trea
요약Chapter III addresses the challenge of latent trait measurement through multiple outcomes of different scales, which are often collected when the construct of interest cannot be measured directly. We proposed a shared latent variable model where
요약Chapter IV extends the method of Chapter III to allow for longitudinal responses of mixed types. We proposed a joint modeling approach for nonparametrically transformed multivariate longitudinal responses of mixed scales. Multivariate longitudin
일반주제명Biostatistics.
언어영어
기본자료 저록Dissertation Abstracts International79-12B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15000599

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