Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Guido W. Imbens 作者

Cambridge University Press

译者

2015-4-6 出版日期

644 页数

GBP 40.99 价格

Hardcover

丛书系列

9780521885881 图书编码

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书图书标签: 计量经济学统计 Statistics Econometrics 科学研究方法论 Methodology 经济理论

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发表于2024-11-22

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Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书用户评价

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Causal inference beyond Regressions. But still based on the Potential Outcome Framework.

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过长，弃

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偏啰嗦

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Rubin有一种把简单事情将复杂的超能力

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偏啰嗦

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书著者简介

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书图书目录

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Causal Inference for Statistics, Social, and Biomedical Sciences 在线电子书图书描述

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.

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