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Targeted Learning for Capture Recapture Models and Treatment Effect Estimation
Targeted Learning for Capture Recapture Models and Treatment Effect Estimation
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535564470
- DDC
- 574
- 저자명
- You, Yue.
- 서명/저자
- Targeted Learning for Capture Recapture Models and Treatment Effect Estimation
- 발행사항
- [Sl] : University of California, Berkeley, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 127 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: van der Laan, Mark;Hubbard, Alan.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Biostatistics
- 일반주제명
- Statistics
- 일반주제명
- Public health
- 일반주제명
- Epidemiology
- 일반주제명
- Sample size
- 일반주제명
- Simulation
- 일반주제명
- Diabetes
- 일반주제명
- Random variables
- 일반주제명
- Clinics
- 일반주제명
- Identification
- 일반주제명
- Dissertations & theses
- 일반주제명
- Approximation
- 일반주제명
- Probability
- 일반주제명
- Algorithms
- 일반주제명
- Surveillance
- 일반주제명
- Confidence intervals
- 일반주제명
- Probability distribution
- 일반주제명
- Bias
- 키워드
- Causal inference
- 키워드
- Machine learning
- 키워드
- Treatment effect
- 기타저자
- University of California, Berkeley Biostatistics
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798535564470
■035 ▼a(MiAaPQ)AAI28497893
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aYou, Yue.
■24510▼aTargeted Learning for Capture Recapture Models and Treatment Effect Estimation
■260 ▼a[Sl]▼bUniversity of California, Berkeley▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a127 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: van der Laan, Mark;Hubbard, Alan.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0028.
■650 4▼aBiostatistics
■650 4▼aStatistics
■650 4▼aPublic health
■650 4▼aEpidemiology
■650 4▼aSample size
■650 4▼aSimulation
■650 4▼aDiabetes
■650 4▼aPrincipal components analysis
■650 4▼aRandom variables
■650 4▼aClinics
■650 4▼aIdentification
■650 4▼aDissertations & theses
■650 4▼aApproximation
■650 4▼aProbability
■650 4▼aAlgorithms
■650 4▼aSurveillance
■650 4▼aConfidence intervals
■650 4▼aProbability distribution
■650 4▼aBias
■653 ▼aCapture recapture
■653 ▼aCausal inference
■653 ▼aMachine learning
■653 ▼aTargeted maximum likelihood estimation (TMLE)
■653 ▼aTreatment effect
■690 ▼a0308
■690 ▼a0463
■690 ▼a0573
■690 ▼a0766
■71020▼aUniversity of California, Berkeley▼bBiostatistics.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052087▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
