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Latent Variable Models for Analyses of Diagnostic Tests and Regressionanalyses With Hierarchical Missing Covariates
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Latent Variable Models for Analyses of Diagnostic Tests and Regressionanalyses With Hierarchical Missing Covariates. |
| 개인저자 | Wang, Xianling. |
| 단체저자명 | University of Pittsburgh. |
| 발행사항 | [S.l.]: University of Pittsburgh., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 75 p. |
| 기본자료 저록 | Dissertations Abstracts International 84-05A. Dissertation Abstract International |
| ISBN | 9798352972243 |
| 학위논문주기 | Thesis (Ph.D.)--University of Pittsburgh, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
Advisor: Yabes, Jonathan Guerrero;Tang, Lu;McKennan, Christopher Gordon;Kang, Chaeryon;Tang, Gong. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Clinical medicine. Disease. Diagnostic tests. Item response theory. Breast cancer. Patients. Quality of life. Growth models. Electronic health records. Medical prognosis. Quantitative psychology. Maximum likelihood method. Tumors. Chemotherapy. Parameter estimation. Information science. Medicine. Oncology. Psychology. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
