Wiley.com
Print this page Share

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives

Andrew Gelman (Editor), Xiao-Li Meng (Editor)
ISBN: 978-0-470-09043-5
Hardcover
440 pages
September 2004
List Price: US $150.75
Government Price: US $101.72
Enter Quantity:   Buy
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (047009043X) cover image
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. Covering new research topics and real-world examples which do not feature in many standard texts. The book is dedicated to Professor Don Rubin (Harvard). Don Rubin  has made fundamental contributions to the study of missing data.

Key features of the book include:

  • Comprehensive coverage of an imporant area for both research and applications.
  • Adopts a pragmatic approach to describing a wide range of intermediate and advanced statistical techniques.
  • Covers key topics such as multiple imputation, propensity scores, instrumental variables and Bayesian inference.
  • Includes a number of applications from the social and health sciences.
  • Edited and authored by highly respected researchers in the area.

Related Titles

More From This Series

by Samuel Kotz, Narayanaswamy Balakrishnan, Norman L. Johnson
by Bovas Abraham, Johannes Ledolter
by Paul P. Biemer (Editor), Robert M. Groves (Editor), Lars E. Lyberg (Editor), Nancy A. Mathiowetz (Editor), Seymour Sudman (Editor)
by Thomas R. Fleming, David P. Harrington

Bayesian Analysis

by Ioannis Ntzoufras
by Christian Borgelt, Matthias Steinbrecher, Rudolf R. Kruse
by Timo Koski, John Noble
Back to Top