Design of Observational Studies (Paperback)

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Design of Observational Studies (Paperback)

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Part 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.- 7 Some Counterclaims Undermine Themselves.- Part II Matching.- 8 A Matched Observational Study.- 9 Basic Tools of Multivariate Matching.- 10 Various Practical Issues in Matching.- 11 Fine Balance.- 12 Matching Without Groups.- 13 Risk-Set Matching.- 14 Matching in R.- Part III Design Sensitivity.- 15 The Power of a Sensitivity Analysis and Its Limit.- 16 Heterogeneity and Causality.- 17 Uncommon but Dramatic Responses to Treatment.- 18 Anticipated and Discovered Patterns of Response.- 19 Choice of Test Statistic.- Part IV Enhanced Design.- 20 Evidence Factors.- 21 Constructing Several Comparison Groups.- Part V Planning Analysis.- 22 After Matching, Before Analysis.- 23 Planning the Analysis.- Summary: Key Elements of Design.- Solutions to Common Problems.- Symbols.- Acronyms.- Glossary of Statistical Terms.- Further Reading.- Suggested Readings for a Course.- Index.
Paul R. Rosenbaum is the Robert G. Putzel Professor of Statistics at the Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association. In 2019, he received the R. A. Fisher Award, and in 2003 the George W. Snedecor Award, both from the Committee of Presidents of Statistical Societies (COPSS). He is the author of Observation and Experiment: An Introduction to Causal Inference (2017) and Observational Studies, 2nd edition (Springer 2002).
Product Details ISBN: 9783030464073
ISBN-10: 3030464075
Publisher: Springer
Publication Date: July 14th, 2021
Pages: 547
Language: English