Statistical Models and Causal Inference

Statistical Models and Causal Inference pdf epub mobi txt 电子书 下载 2025

出版者:Cambridge University Press
作者:David A. Freedman
出品人:
页数:416
译者:
出版时间:2009-11-30
价格:USD 90.00
装帧:Hardcover
isbn号码:9780521195003
丛书系列:
图书标签:
  • 方法论 
  • 因果 
  •  
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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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