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

David Freedman

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Contents

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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Statistical models and causal inference : a dialogue with the social sciences by David Freedman. ISBN 9780521123907. Published by Cambridge University Press in 2010. Publication and catalogue information, links to buy online and reader comments.

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