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Bayesian Methods for Smart Designs with Re-Randomization Based on a Continuous Outcome and Estimating Survival Outcomes when COVID-19 Is a Competing Risk in Cancer Patients
Bayesian Methods for Smart Designs with Re-Randomization Based on a Continuous Outcome and Estimating Survival Outcomes when COVID-19 Is a Competing Risk in Cancer Patients
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798471101289
- DDC
- 574
- 서명/저자
- Bayesian Methods for Smart Designs with Re-Randomization Based on a Continuous Outcome and Estimating Survival Outcomes when COVID-19 Is a Competing Risk in Cancer Patients
- 발행사항
- [Sl] : University of Michigan, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 121 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Kidwell, Kelley M.;Schipper, Matthew J.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 사용제한주기
- This item must not be added to any third party search indexes.
- 일반주제명
- Biostatistics
- 일반주제명
- Biomedical engineering
- 일반주제명
- Oncology
- 일반주제명
- Pathology
- 키워드
- Clinical trial
- 키워드
- COVID-19
- 키워드
- Bayesian
- 키워드
- Small sample
- 기타저자
- University of Michigan Biostatistics
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■035 ▼a(MiAaPQ)AAI28845207
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aHartman, Holly Elizabeth.
■24510▼aBayesian Methods for Smart Designs with Re-Randomization Based on a Continuous Outcome and Estimating Survival Outcomes when COVID-19 Is a Competing Risk in Cancer Patients
■260 ▼a[Sl]▼bUniversity of Michigan▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a121 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-05, Section: B.
■500 ▼aAdvisor: Kidwell, Kelley M.;Schipper, Matthew J.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■506 ▼aThis item must not be added to any third party search indexes.
■590 ▼aSchool code: 0127.
■650 4▼aBiostatistics
■650 4▼aBiomedical engineering
■650 4▼aOncology
■650 4▼aPathology
■653 ▼aClinical trial
■653 ▼aCOVID-19
■653 ▼aBayesian
■653 ▼aDynamic treatment regimen
■653 ▼aSmall sample
■653 ▼aCoronavirus disease 2019
■690 ▼a0308
■690 ▼a0992
■690 ▼a0541
■690 ▼a0571
■71020▼aUniversity of Michigan▼bBiostatistics.
■7730 ▼tDissertations Abstracts International▼g83-05B.
■773 ▼tDissertation Abstract International
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16055551▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
