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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2024-11-22

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

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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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