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Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family /

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"Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political...

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Bibliographic Details
Other Authors: Rubin, Donald B., Gelman, Andrew, Meng, Xiao-Li
Format: eBook
Language:English
Published: Chichester, West Sussex, England ; Hoboken, NJ : Wiley, ©2004.
Series:Wiley series in probability and statistics.
Subjects:
Bayesian statistical decision theory.
Missing observations (Statistics)
Bayes Theorem
Models, Statistical
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. An overview of methods for causal inference from observational studies / Sander Greenland
  • 2. Matching in observational studies / Paul R. Rosenbaum
  • 3. Estimating causal effects in nonexperimental studies / Rajeev Dehejia
  • 4. Medication cost sharing and drug spending in Medicare / Alyce S. Adams
  • 5. A comparison of experimental and observational data analyses / Jennifer L. Hill, Jerome P. Reiter and Elaine L. Zanutto
  • 6. Fixing broken experiments using the propensity score / Bruce Sacerdote
  • 7. The propensity score with continuous treatments / Keisuke Hirano and Guido W. Imbens
  • 8. Causal inference with instrumental variables / Junni L. Zhang
  • 9. Principal stratification / Constantine E. Frangakis.