[PDF.73te] Statistical Models and Causal Inference: A Dialogue with the Social Sciences

Statistical Models and Causal Inference: A Dialogue with the Social Sciences

[PDF.og34] Statistical Models and Causal Inference: A Dialogue with the Social Sciences

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 | #783445 in Books |  Cambridge University Press |  2009-11-23 | Original language:English | PDF # 1 |  9.21 x.87 x6.14l,1.05 | File type: PDF | 416 pages

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||8 of 8 people found the following review helpful.| A good collection of articles by the author.|By W. YIP|This is not a textbook. Rather it is a collection of articles written by the author and his collaborators. Some articles are more interesting than others. Some are more difficult to read as they required certain background for the issues that the author was trying to address. Overall, it is a good book and a great remin|About the Author|David A. Freedman (1938-2008) was Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose theoretical research included the analysis of martingale inequalities, Markov processes,

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 n...

You can specify the type of files you want, for your device.Statistical Models and Causal Inference: A Dialogue with the Social Sciences   |  David A. Freedman. Just read it with an open mind because none of us really know.

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