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Product Description
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 skepticism, 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.
Book Description
David A. Freedman presents here a definitive synthesis of his views on the foundations and limitations of statistical modeling in the social sciences, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. He maintains that many new technical approaches to statistical modeling constitute not progress, but regress, and he shows why these methods are not reliable.
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5.0 out of 5 stars (1 customer review)
6 of 8 people found the following review helpful
5.0 out of 5 stars
This is how to do statistical analysis, Nov 1 2010
By The Sampler - Published on Amazon.com
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This review is from: Statistical Models and Causal Inference: A Dialogue with the Social Sciences (Paperback)
I am not familiar with all the authors, but this book has Freedman's finger prints all over it.In the book, many of our known social problems are reviewed and discussed with a deeper statistical view than earlier writers on the topics. For example, the evidence that the outbreak of the Guillaume Barre syndrome was strongly related to vaccines is shown to be weaker than many have believed.
For many scientists, this book will be very interesting.
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