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Semiparametric Latent Variable Models for Chronic Diseases with Responses of Multiple Types and Scales
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Semiparametric Latent Variable Models for Chronic Diseases with Responses of Multiple Types and Scales. |
| 개인저자 | Chen, Yu-Pu. |
| 단체저자명 | University of Michigan. Biostatistics. |
| 발행사항 | [S.l.]: University of Michigan., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 199 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438127111 |
| 학위논문주기 | Thesis (Ph.D.)--University of Michigan, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Alexander Tsodikov. |
| 요약 | In 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 |
| 요약 | In 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 |
| 요약 | Chapter 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 |
| 요약 | Chapter 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 |
| 일반주제명 | Biostatistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
