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

ISBN: 9780521123907 出版年：2009 页码：417 Freedman et al Cambridge University Press

Editors' 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.