Design of Observational Studies

Author:   Paul R. Rosenbaum
Publisher:   Springer Nature Switzerland AG
Edition:   2nd ed. 2020
ISBN:  

9783030464042


Pages:   547
Publication Date:   14 July 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Design of Observational Studies


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Full Product Details

Author:   Paul R. Rosenbaum
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2nd ed. 2020
Weight:   1.021kg
ISBN:  

9783030464042


ISBN 10:   3030464040
Pages:   547
Publication Date:   14 July 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

References are listed after each chapter ... reflecting the wealth of his contribution to the subject of causal inference over the last four decades. ... The book is a comprehensive account of methods for comparing treatments in an observational study, rich with detailed illustrations using data for inferences of substance in education, epidemiology, economics and clinical medicine. ... this is an absolute `must' for reading and reference for every statistician who works with observational studies ... . (Nicholas T. Longford, Mathematical Reviews, April, 2022) This book is readily usable for self-study, a graduate seminar, or use by a practitioner getting their bearings in the field. The book is filled with references to both foundational work and cutting-edge approaches. ... the book was an easy read. Rosenbaum provides practical advice, delivered in a conversational tone, and steers clear of the weeds that might bog a reader down in the main text. steers clear of the weeds that might bog a reader down in the main text. (Sara Stoudt, MAA Reviews, July 24, 2021)


This book is readily usable for self-study, a graduate seminar, or use by a practitioner getting their bearings in the field. The book is filled with references to both foundational work and cutting-edge approaches. ... the book was an easy read. Rosenbaum provides practical advice, delivered in a conversational tone, and steers clear of the weeds that might bog a reader down in the main text. steers clear of the weeds that might bog a reader down in the main text. (Sara Stoudt, MAA Reviews, July 24, 2021)


Author Information

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).

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