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Titlebook: Design of Observational Studies; Paul R. Rosenbaum Book 20101st edition Springer-Verlag New York 2010 Analysis.Causal inference.Statistica

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書(shū)目名稱Design of Observational Studies
編輯Paul R. Rosenbaum
視頻videohttp://file.papertrans.cn/269/268746/268746.mp4
概述The concepts of causal inference in experiments and observational studies are introduced using the elementary mathematics of independent coin flips to determine treatment assignment.The basic tools of
叢書(shū)名稱Springer Series in Statistics
圖書(shū)封面Titlebook: Design of Observational Studies; Paul R. Rosenbaum Book 20101st edition Springer-Verlag New York 2010 Analysis.Causal inference.Statistica
描述.An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. .Design of Observational Studies. is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies....Design of Observational Studies. is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s .Observational Studies. (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of c
出版日期Book 20101st edition
關(guān)鍵詞Analysis; Causal inference; Statistical Inference; natural experiment; observational study; propensity sc
版次1
doihttps://doi.org/10.1007/978-1-4419-1213-8
isbn_softcover978-1-4614-2486-4
isbn_ebook978-1-4419-1213-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York 2010
The information of publication is updating

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Two Simple Models for Observational Studiesduces two simple models for treatment assignment in observational studies. The first model is useful but na?ve: it says that people who look comparable are comparable. The second model speaks to a central concern in observational studies: people who look comparable in the observed data may not actua
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Opportunities, Devices, and Instruments? This topic, which is the focus of Part III of the book, is sketched in informal terms in the current chapter. An opportunity is an unusual setting in which there is less confounding with unobserved covariates than occurs in common settings. One opportunity may be the base on which one or more natu
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Fine Balancee between treated and control subjects. It may be applied to: (i) a nominal variable with many levels that is difficult to balance using propensity scores, (ii) a rare binary variable that is difficult to control using a distance, or (iii) the interaction of several nominal variables. The fine balan
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Risk-Set Matchingid matching on events that were subsequent to treatment. This is done using risk-set matching, in which a newly treated subject at time . is matched to one or more controls who are not yet treated at time t based on covariate information describing subjects prior to time ..
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