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Titlebook: Design of Observational Studies; Paul R. Rosenbaum Book 2020Latest edition Springer Nature Switzerland AG 2020 Analysis.Causal inference.S

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發(fā)表于 2025-3-21 16:16:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Design of Observational Studies
編輯Paul R. Rosenbaum
視頻videohttp://file.papertrans.cn/269/268747/268747.mp4
概述Introduces the concepts of causal inference in experiments and observational studies using elementary mathematics.Presents many examples and with reference to implementation in R.Discusses design sens
叢書名稱Springer Series in Statistics
圖書封面Titlebook: Design of Observational Studies;  Paul R. Rosenbaum Book 2020Latest edition Springer Nature Switzerland AG 2020 Analysis.Causal inference.S
描述.This second edition of?.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. 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 organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely 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, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of
出版日期Book 2020Latest edition
關(guān)鍵詞Analysis; Causal inference; Statistical Inference; natural experiment; observational study; propensity sc
版次2
doihttps://doi.org/10.1007/978-3-030-46405-9
isbn_softcover978-3-030-46407-3
isbn_ebook978-3-030-46405-9Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 20:40:38 | 只看該作者
Book 2020Latest editionical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of
板凳
發(fā)表于 2025-3-22 00:25:08 | 只看該作者
A Journey Through Entrepreneurshiptrol groups that appear comparable in terms of a specific list of measured covariates—groups that are ostensibly comparable—may nonetheless differ in terms of covariates that were not measured. Though not discussed in the current chapter, the important issue of unmeasured covariates in this example
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The Power of a Sensitivity Analysis and Its Limitr in large samples of a sensitivity analysis is used to judge the ability of design features, such as those in Chap. ., to distinguish treatment effects from bias due to unmeasured covariates. As the sample size increases, the limit of the power of a sensitivity analysis is a step function with a si
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發(fā)表于 2025-3-22 20:59:58 | 只看該作者
Book 2020Latest editioncussion of the principles that guide the design of observational studies. 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 treatment
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發(fā)表于 2025-3-22 22:17:03 | 只看該作者
0172-7397 with reference to implementation in R.Discusses design sens.This second edition of?.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. An observational
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發(fā)表于 2025-3-23 02:45:48 | 只看該作者
Cosmopolitan Gentlemen of Sciencee are comparable. The second model speaks to a central concern in observational studies: people who look comparable in the observed data may not actually be comparable; they may differ in ways we did not observe.
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發(fā)表于 2025-3-23 06:22:36 | 只看該作者
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