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Design of observational studies

Author: Paul R Rosenbaum
Publisher: New York : Springer, ©2010.
Series: Springer series in statistics.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Paul R Rosenbaum
ISBN: 9781441912121 1441912126 9781441912138 1441912134 9781461424864 1461424860
OCLC Number: 444428720
Description: xviii, 384 pages : illustrations ; 24 cm.
Contents: pt. I. Beginnings. 1. Dilemmas and craftsmanship --
2. Causal inference in randomized experiments --
3. Two simple models for observational studies --
4. Competing theories structure design --
5. Opportunities, devices, and instruments --
6. Transparency --
pt. II. Matching. 7. A matched observational study --
8. Basic tools of multivariate matching --
9. Various practical issues in matching --
10. Fine balance --
11. Matching without groups --
12. Risk-set matching --
13. Matching in R --
pt. III. Design sensitivity. 14. The power of a sensitivity analysis and its limit --
15. Heterogeneity and causality --
16. Uncommon but dramatic responses to treatment --
17. Anticipated patterns of response --
pt. IV. Planning analysis. 18. After matching, before analysis --
19. Planning the analysis.
Series Title: Springer series in statistics.
Responsibility: Paul R. Rosenbaum.

Abstract:

Observational studies are common in most fields that study the effects of treatments on people. This book is both an introduction to statistical inference in observational studies and a discussion of  Read more...

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From the book reviews:"The book is both a pragmatic how-to manual and a delightfully written manifesto. ... The book contains four parts. ... People very new to statistics could read this book quite Read more...

 
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