Matched Sampling for Causal Effects | 
 enlarge | Author: Donald B. Rubin
Publisher: Cambridge University Press
Category: Book
List Price: $43.00
Buy New: $35.67
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Rating:  2 reviews
Sales Rank: 154254
Media: Paperback
Edition: 1
Pages: 502
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 9.2 x 6 x 1
ISBN: 0521674360
Dewey Decimal Number: 001.433
EAN: 9780521674362
Publication Date: September 4, 2006
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand New. Delivery is usually 5 - 8 working days from order, International is by Royal Mail Airmail
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Product Description
Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area. The articles include fundamental theoretical studies that have become classics, important extensions, and real applications that range from breast cancer treatments to tobacco litigation to studies of criminal tendencies. They are organized into seven parts, each with an introduction by the author that provides historical and personal context and discusses the relevance of the work today. A concluding essay offers advice to investigators designing observational studies. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone else doing empirical research to evaluate the causal effects of interventions.
Book Description
This selection of Donald B. Rubin's contributions to matched sampling includes classic theoretical studies as well as real applications. Each of the seven parts has an introduction by the author offering historical and current context. The book thus provides an accessible introduction to the study of matched sampling for readers across the statistical, social, and medical sciences.
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| Customer Reviews:
 Great book! November 20, 2007
V. Lo
7 out of 7 found this review helpful
This is a very good collection of important articles that Rubin and his students and colleagues have written on causal inference.
Another book written by his student P. Rosenbaum (now a Wharton prof) titled "Observtional Studies" is also very important if one wants to learn the details of propensity scoring or matching.
 causal inference by one of the originators August 13, 2007
Michael R. Chernick (Holland PA)
28 out of 28 found this review helpful
An important issue for researchers is the discovery of cause and effect relationships. It is often the case that those not well educated in statistics will think that a simple correlation between two variables is enough to imply causation (perhaps because of temporal order i.e. A comes befor B so A causes B). However, determining causation is a much more complicated issue. A common statistical adage is "correlation does not imply causation". Don Rubin is an accomplished author, teacher and one of the leading developers of the statistical theory of causation. the authorities to read on this subject are Don Rubin and Judea Pearl, two of the pioneers who have written texts on this topics. This theory involves new concepts that one does not learn in introductory statistics course. Contrafactuals represent one such concept. Read this book to learn the details.
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