【2015】Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Book 图书名称： Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Author 作者： Guido W. Imbens, Donald B. Rubin
Publisher 出版社： Cambridge University Press
Page 页数： 644
Publishing Date 出版时间： Apr 6, 2015
Language 语言： English
Size 大小： 5 MB
Format 格式： pdf 文字版
ISBN: 0521885884, 9780521885881
Edition: 第1版 搜索过论坛，没有该文档


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.


== Table of contents ==
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