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Transparent and Robust Causal Inferences in the Social and Health Sciences
Transparent and Robust Causal Inferences in the Social and Health Sciences
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210093911
- ISBN
- 9798535542911
- DDC
- 310
- 서명/저자
- Transparent and Robust Causal Inferences in the Social and Health Sciences
- 발행사항
- [Sl] : University of California, Los Angeles, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 233 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Pearl, Judea;Hazlett, Chad J.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Statistics
- 일반주제명
- Computer science
- 일반주제명
- Research
- 일반주제명
- Scientists
- 일반주제명
- Epidemiology
- 일반주제명
- Identification
- 일반주제명
- Artificial intelligence
- 일반주제명
- Dissertations & theses
- 일반주제명
- Social exclusion
- 일반주제명
- Health sciences
- 일반주제명
- Advisors
- 일반주제명
- Bias
- 일반주제명
- Sample size
- 일반주제명
- Simulation
- 일반주제명
- Sensitivity analysis
- 일반주제명
- Experiments
- 일반주제명
- Electronic periodicals
- 일반주제명
- Variables
- 일반주제명
- Algorithms
- 키워드
- Regression
- 키워드
- Robustness value
- 기타저자
- University of California, Los Angeles Statistics 0891
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210093911
■020 ▼a9798535542911
■035 ▼a(MiAaPQ)AAI28652203
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aKulnig Cinelli, Carlos Leonardo.
■24510▼aTransparent and Robust Causal Inferences in the Social and Health Sciences
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a233 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Pearl, Judea;Hazlett, Chad J.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0031.
■650 4▼aStatistics
■650 4▼aComputer science
■650 4▼aInternational conferences
■650 4▼aResearch
■650 4▼aScientists
■650 4▼aEpidemiology
■650 4▼aIdentification
■650 4▼aArtificial intelligence
■650 4▼aDissertations & theses
■650 4▼aSocial exclusion
■650 4▼aHealth sciences
■650 4▼aAdvisors
■650 4▼aBias
■650 4▼aSample size
■650 4▼aSimulation
■650 4▼aSensitivity analysis
■650 4▼aExperiments
■650 4▼aElectronic periodicals
■650 4▼aVariables
■650 4▼aAlgorithms
■653 ▼aCauses of effects
■653 ▼aInstrumental variables
■653 ▼aOVB-adjusted critical value
■653 ▼aRegression
■653 ▼aRobustness value
■653 ▼aSensitivity analysis
■690 ▼a0463
■690 ▼a0984
■690 ▼a0566
■690 ▼a0800
■690 ▼a0766
■71020▼aUniversity of California, Los Angeles▼bStatistics 0891.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053694▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
