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Essays on Propensity Score Methods for Causal Inference in Observational Studies

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서명/저자사항Essays on Propensity Score Methods for Causal Inference in Observational Studies.
개인저자Nguyen, Nghi Le Phuong.
단체저자명Duke University. Statistical Science.
발행사항[S.l.]: Duke University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항124 p.
기본자료 저록Dissertation Abstracts International 80-02B(E).
Dissertation Abstract International
ISBN9780438377424
학위논문주기Thesis (Ph.D.)--Duke University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Fan Li.
요약In 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.
요약Chapter 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.
요약Chapter 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
요약In 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
요약Chapter 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
요약Finally, chapter 5 concludes this dissertation and discusses possible future works for each of the projects.
일반주제명Statistics.
언어영어
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