Statistical models and causal inference : a dialogue with the social sciences /

"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. Freed...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Freedman, David, 1938-2008
Otros Autores: Collier, David, 1942-, Sekhon, Jasjeet Singh, 1971-, Stark, Philip B.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, 2010.
Temas:
Social sciences > Statistical methods.
Linear models (Statistics)
Causation.
Sciences sociales > Méthodes statistiques.
MATHEMATICS > Probability & Statistics > General.
Sozialwissenschaften
Statistik
Kausalität
sciences sociales > statistique.
causalité > modèles linéaires.
Samhällsvetenskaplig forskning.
Statistik > metodik.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Editor's introduction: inference and shoe leather
  • Statistical modeling: foundations and limitations
  • issues in the foundations of statistics : probability and statistical models
  • Statistical assumptions as empirical commitements
  • Statistical models and shoe leather
  • Studies in political science, public policy, and epidemiology
  • Methods for Census 2000 and statistical adjustments
  • On "solutions" to the ecological inference problem
  • Rejoinder to king
  • Black ravens, white shoes, and case selection : inference with categorical variables
  • What is the chance of an earthquake
  • Salt and blood pressure : conventional wisdom reconsidered
  • The Swine Flu vaccine and Guillain-Barré syndrome : a case study in relative risk and specific causation
  • Survival analysis : an epidemiological hazard?
  • New developments : progress or regress?
  • On regression adjustments in experiments with several treatments
  • Randomization does not justify logistic regression
  • The grand leap
  • On specifying graphical models for causation, and the identification problem
  • Weighting regressions by propensity scores
  • On the so-called "Huber Sandwich Estimator" and "Robust Standard Errors"
  • Endogeneity in probit response models
  • Diagnostics cannot have much power against general alternatives
  • Shoe leather revisited
  • On types of scientific inquiry : the role of qualitative reasoning.

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