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Statistical Models and Causal Inference

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David A. Freedman 作者
Cambridge University Press
译者
2009-11-23 出版日期
416 页数
USD 35.99 价格
Paperback
丛书系列
9780521123907 图书编码

Statistical Models and Causal Inference 在线电子书 图书标签: 方法论  Statistics  causal  Methodology  Freedman,  美國  统计  統計學   


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发表于2024-07-06


Statistical Models and Causal Inference 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistical Models and Causal Inference 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Statistical Models and Causal Inference 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Statistical Models and Causal Inference 在线电子书 图书描述

David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views.

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