Statistical Models and Causal Inferencetxt,chm,pdf,epub,mobi下载
作者:
David A. Freedman
出版社: Cambridge University Press 副标题: A Dialogue with the Social Sciences 出版年: 2009-11-23 页数: 416 定价: USD 35.99 装帧: Paperback ISBN: 9780521123907
内容简介
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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 no...
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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没想到刚开始就牢牢抓住了我的眼球。
这是需要耐心
一种宝贵的积累!
受益匪浅!