Causal inference for statistics, social, and biomedical sciences: An introduction
By: Contributor(s): Material type:
TextPublication details: New York Cambridge University Press 2015Description: xix, 625 p. Includes bibliographical reference and indexISBN: - 9780521885881
Textual
| Item type | Current library | Home library | Status | Barcode | |
|---|---|---|---|---|---|
Textual
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Ratan Tata Library | Ratan Tata Library | Available | RT1528666 |
ost 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.
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Causal inference for statistics, social, and biomedical sciences: An introduction
APA
Imbens G. W., Rubin D. B., . (2015). Causal inference for statistics, social, and biomedical sciences: An introduction. New York: Cambridge University Press.
Chicago
Imbens Guido W, Rubin Donald B, . 2015. Causal inference for statistics, social, and biomedical sciences: An introduction. New York: Cambridge University Press.
Harvard
Imbens G. W., Rubin D. B., . (2015). Causal inference for statistics, social, and biomedical sciences: An introduction. New York: Cambridge University Press.
MLA
Imbens Guido W, Rubin Donald B, . Causal inference for statistics, social, and biomedical sciences: An introduction. New York: Cambridge University Press. 2015.
