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020 ▼a 9798845450456
035 ▼a (MiAaPQ)AAI29712119
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 614
1001 ▼a Wu, Wenbo.
24510 ▼a Flexible Competing Risk Modeling for Big Data from Administrative Records and Disease Registries.
260 ▼a [S.l.]: ▼b University of Michigan., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 161 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-04, Section: A.
500 ▼a Advisor: He, Kevin.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2022.
506 ▼a This item must not be sold to any third party vendors.
506 ▼a This item must not be added to any third party search indexes.
590 ▼a School code: 0127.
650 4 ▼a Public health.
650 4 ▼a Applied mathematics.
650 4 ▼a Biostatistics.
650 4 ▼a Information science.
650 4 ▼a Computer science.
690 ▼a 0308
690 ▼a 0573
690 ▼a 0364
690 ▼a 0723
690 ▼a 0984
71020 ▼a University of Michigan. ▼b Biostatistics.
7730 ▼t Dissertations Abstracts International ▼g 84-04A.
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16620332 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK