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Guido W. Imbens
人物简介:
Causal Inference in Statistics, Social, and Biomedical Sciences书籍相关信息
- ISBN:9780521885881
- 作者:Guido W. Imbens / Donald B. Rubin
- 出版社:Cambridge University Press
- 出版时间:2015-3-31
- 页数:592
- 价格:USD 60.00
- 纸张:暂无纸张
- 装帧:Hardcover
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:researchers in statistics, social scientists, biostatisticians, biomedical researchers, data analysts, statisticians, graduate students in related fields, professionals interested in causal relationships
- TAG:statistics / data analysis / Research methodology / Biostatistics / Probability Theory / causal inference / social sciences / decision theory / predictive modeling
- 豆瓣评分:8.9
- 更新时间:2025-04-29 16:33:19
内容简介:
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.