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Guido W. Imbens - Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction - 9780521885881 - V9780521885881
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

€ 66.17
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Description for Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction hardcover. This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments. Num Pages: 644 pages, 18 b/w illus. 97 tables. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 188 x 262 x 36. Weight in Grams: 1292.
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular ... Read more

Product Details

Publisher
Cambridge University Press
Format
Hardback
Publication date
2015
Condition
New
Number of Pages
644
Place of Publication
Cambridge, United Kingdom
ISBN
9780521885881
SKU
V9780521885881
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-6

About Guido W. Imbens
Guido W. Imbens is Professor of Economics at the Graduate School of Business, Stanford University. He has held tenured faculty positions at Harvard University, the University of California, Los Angeles, the University of California, Berkeley, and Stanford University. He is a fellow of the Econometric Society and the American Academy of Arts and Sciences. Imbens has published widely in economics ... Read more

Reviews for Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
'This book offers a definitive treatment of causality using the potential outcomes approach. Both theoreticians and applied researchers will find this an indispensable volume for guidance and reference.' Hal Varian, Chief Economist, Google, and Emeritus Professor, University of California, Berkeley 'By putting the potential outcome framework at the center of our understanding of causality, Imbens and Rubin have ushered in ... Read more

Goodreads reviews for Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction


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