| 书目名称 | Design of Observational Studies | | 编辑 | Paul R. Rosenbaum | | 视频video | | | 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 | | 丛书名称 | Springer Series in Statistics | | 图书封面 |  | | 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 | | 关键词 | Analysis; Causal inference; Statistical Inference; natural experiment; observational study; propensity sc | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-030-46405-9 | | isbn_softcover | 978-3-030-46407-3 | | isbn_ebook | 978-3-030-46405-9Series ISSN 0172-7397 Series E-ISSN 2197-568X | | issn_series | 0172-7397 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 16:16:19
