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Statistical Learning Methods for Subgroup Discovery with Survival Outcome
Statistical Learning Methods for Subgroup Discovery with Survival Outcome
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798538118304
- DDC
- 574
- 저자명
- Jia, Beilin.
- 서명/저자
- Statistical Learning Methods for Subgroup Discovery with Survival Outcome
- 발행사항
- [Sl] : The University of North Carolina at Chapel Hill, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 118 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Zeng, Donglin;Ibrahim, Joseph G.
- 학위논문주기
- Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Biostatistics
- 일반주제명
- Patients
- 일반주제명
- Simulation
- 일반주제명
- Failure
- 일반주제명
- Teaching methods
- 일반주제명
- Medical prognosis
- 일반주제명
- Estimates
- 일반주제명
- Classification
- 일반주제명
- Dissertations & theses
- 일반주제명
- Clinical trials
- 일반주제명
- Variables
- 일반주제명
- Feature selection
- 일반주제명
- Algorithms
- 일반주제명
- Decision trees
- 일반주제명
- Confidence intervals
- 일반주제명
- Performance evaluation
- 일반주제명
- Survival analysis
- 일반주제명
- Breast cancer
- 일반주제명
- Health sciences
- 일반주제명
- Health care management
- 키워드
- Censoring
- 키워드
- Latent model
- 키워드
- Tree-base method
- 기타저자
- The University of North Carolina at Chapel Hill Biostatistics
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798538118304
■035 ▼a(MiAaPQ)AAI28648612
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aJia, Beilin.
■24510▼aStatistical Learning Methods for Subgroup Discovery with Survival Outcome
■260 ▼a[Sl]▼bThe University of North Carolina at Chapel Hill▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a118 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Zeng, Donglin;Ibrahim, Joseph G.
■5021 ▼aThesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0153.
■650 4▼aBiostatistics
■650 4▼aPatients
■650 4▼aSimulation
■650 4▼aFailure
■650 4▼aTeaching methods
■650 4▼aMedical prognosis
■650 4▼aEstimates
■650 4▼aClassification
■650 4▼aDissertations & theses
■650 4▼aClinical trials
■650 4▼aVariables
■650 4▼aFeature selection
■650 4▼aAlgorithms
■650 4▼aDecision trees
■650 4▼aConfidence intervals
■650 4▼aPerformance evaluation
■650 4▼aSurvival analysis
■650 4▼aBreast cancer
■650 4▼aHealth sciences
■650 4▼aHealth care management
■653 ▼aCensoring
■653 ▼aLatent model
■653 ▼aMixture distribution
■653 ▼aRisk classification
■653 ▼aSubgroup analysis
■653 ▼aTree-base method
■690 ▼a0308
■690 ▼a0566
■690 ▼a0769
■71020▼aThe University of North Carolina at Chapel Hill▼bBiostatistics.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0153
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053443▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
