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  3. Matched Sampling for Causal Effects
  • Cited by 360
Publisher:
Cambridge University Press
Online publication date:
June 2012
Print publication year:
2006
Online ISBN:
9780511810725
DOI:
https://doi.org/10.1017/CBO9780511810725
Subjects:
Epidemiology Public Health and Medical Statistics, Medicine, Statistical Theory and Methods, Statistics and Probability
Information

Book 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.

Reviews

'The book provides an accessible introduction to the study of matched sampling and as such it is well addressed to students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone doing empirical research to evaluate the causal effects of interventions.'

Source: Zentralblatt MATH

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Contents

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Contents

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References
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