Share
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (in English)
Donald B. Rubin
(Author)
·
Guido W. Imbens
(Author)
·
Cambridge University Press
· Hardcover
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (in English) - Imbens, Guido W. ; Rubin, Donald B.
$ 52.79
$ 65.99
You save: $ 13.20
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, July 08 and
Tuesday, July 09.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (in English)"
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 subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including, matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.