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Statistical Models and Causal Inference

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David A. Freedman 作者
Cambridge University Press
譯者
2009-11-30 出版日期
416 頁數
USD 90.00 價格
Hardcover
叢書系列
9780521195003 圖書編碼

Statistical Models and Causal Inference 在線電子書 圖書標籤: 方法論  因果   


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發表於2024-08-22

Statistical Models and Causal Inference 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistical Models and Causal Inference 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistical Models and Causal Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Statistical Models and Causal Inference 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistical Models and Causal Inference 在線電子書 圖書描述

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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