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Essays on Propensity Score Methods for Causal Inference in Observational Studies

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자료유형	E-Book
개인저자	Nguyen, Nghi Le Phuong.
단체저자명	Duke University. Statistical Science.
서명/저자사항	Essays on Propensity Score Methods for Causal Inference in Observational Studies.
발행사항	[S.l.] : Duke University., 2018
발행사항	Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항	124 p.
소장본 주기	School code: 0066.
ISBN	9780438377424
일반주기	Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. Adviser: Fan Li.
요약	In this dissertation, I present three essays from three different research projects and they involve different usages of propensity scores in drawing causal inferences in observational studies.
요약	Chapter 1 talks about the general idea of causal inference as well as the concept of randomized experiments and observational studies. It introduces the three different projects and their contributions to the literature.
요약	Chapter 2 gives a critical review and an extensive discussion of several commonly-used propensity score methods when the data have a multilevel structure, including matching, weighting, stratification, and methods that combine these with regress
요약	In observational studies, subjects are no longer assigned to treatment at random as in randomized experiments, and thus the association between the treatment and outcome can be due to some unmeasured variable that affects both the treatment and
요약	Chapter 4 proposes a method for estimating heterogeneous causal effects in observational studies by augmenting additive-interactive Gaussian process regression using the propensity scores, yielding a flexible yet robust way to predict the potent
요약	Finally, chapter 5 concludes this dissertation and discusses possible future works for each of the projects.
일반주제명	Statistics.
언어	영어
기본자료 저록	Dissertation Abstracts International80-02B(E). Dissertation Abstract International
대출바로가기	http://www.riss.kr/pdu/ddodLink.do?id=T14999713