Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives (Innbundet)

An Essential Journey with Donald Rubin's Statistical Family

Serie: Wiley Series in Probability and Statistics 

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Innbinding: Innbundet
Utgivelsesår: 2004
Antall sider: 436
Forlag: John Wiley and Sons Ltd
Språk: Engelsk
Serie: Wiley Series in Probability and Statistics
ISBN/EAN: 9780470090435
Omtale: Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives
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.

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