Statistical models and causal inference : a dialogue with the social sciences (Book, 2010) [WorldCat.org]
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Statistical models and causal inference : a dialogue with the social sciences

Author: David A Freedman; David Collier; Jasjeet S Sekhon; Philip B Stark
Publisher: Cambridge : Cambridge University Press, 2010
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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  Read more...
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Details

Document Type: Book
All Authors / Contributors: David A Freedman; David Collier; Jasjeet S Sekhon; Philip B Stark
ISBN: 9780521195003 0521195004 9780521123907 0521123909
OCLC Number: 759729369
Description: xvi, 399 s. : illustrations
Contents: Machine generated contents note: Editor's introduction: inference and shoe leather; Part I. Statistical Modeling: Foundations and Limitations: 1. Some issues in the foundations of statistics: probability and model validation; 2. Statistical assumptions as empirical commitments; 3. Statistical models and shoe leather; Part II. Studies in Political Science, Public Policy, and Epidemiology: 4. Methods for Census 2000 and statistical adjustments; 5. On 'solutions' to the ecological inference problem; 6. Rejoinder to King; 7. Black ravens, white shoes, and case selection: inference with categorical variables; 8. What is the chance of an earthquake?; 9. Salt and blood pressure: conventional wisdom reconsidered; 10. The Swine Flu vaccine and Guillain-Barre; Syndrome: relative risk and specific causation; 11. Survival analysis: an epidemiological hazard?; Part III. New Developments: Progress or Regress?: 12. On regression adjustments in experiments with several treatments; 13. Randomization does not justify logistic regression; 14. The grand leap; 15. On specifying graphical models for causation, and the identification problem; 16. Weighting regressions by propensity scores; 17. On the so-called 'Huber sandwich estimator' and 'robust standard errors'; 18. Endogeneity in probit response models; 19. Diagnostics cannot have much power against general alternatives; Part IV. Shoe Leather, Revisited: 20. On types of scientific inquiry: the role of quantitative reasoning
Responsibility: David A. Freedman ; edited by David Collier, Jasjeet S. Sekhon, Philip B. Stark

Abstract:

David A. Freedman presents here a definitive synthesis of his views on the foundations and limitations of statistical modeling in the social sciences, He maintains that many new technical approaches  Read more...

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