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- PublisherSpringer
- Publication date2020
- ISBN 10 3030464040
- ISBN 13 9783030464042
- BindingHardcover
- Edition number2
- Number of pages574
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Design of Observational Studies
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Book Description Condition: Brand New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Seller Inventory # 47984073
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Design of Observational Studies (Springer Series in Statistics)
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Book Description hardcover. Condition: New. 2nd ed. 2020. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 004466976N
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Design of Observational Studies (Springer Series in Statistics) by Rosenbaum, Paul R. [Hardcover ]
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Design of Observational Studies
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ISBN 13: 9783030464042
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Design of Observational Studies (Springer Series in Statistics)
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(2020)
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Design of Observational Studies
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Design of Observational Studies
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ISBN 10: 3030464040
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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This second edition ofDesign of Observational Studiesis 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 Studiesis organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum'sObservational 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 competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher's striking advice for observational studies: 'make your theories elaborate.'This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies. 576 pp. Englisch. Seller Inventory # 9783030464042
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