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Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives

Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives GELMAN , A. and MENG , X. L. ( eds ). Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives . Wiley & Sons , New York/Chichester , 2004 . xix + 407 pp . US$110.00/€82.50 , ISBN 0‐470‐09043‐X . The editors call it a “showcase” book, displaying various contributions dealing with incomplete‐data perspectives. One motivation for the choice of this general theme is its importance for real‐world applications of statistical methods. According to the editors “it would be difficult to find an individual, statistician or otherwise, who could successfully deal with a real‐life statistical problem without having the frustration of dealing with missing data, or the need for some sophistication in modeling and computation, or the urge, possibly subconscious, to learn about underlying causal questions.” Right they are. The immediate motivation, however, for choosing this particular topic is the dedication of this volume to Professor Donald B. Rubin—as a special gift for his 60th birthday. Don Rubin has an impressive wide range of fields of interests. His contributions to statistics are enormous, and his impact on general quantitative studies becomes more than evident from the chapters in this book. Don Rubin's name is most closely connected with http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biometrics Oxford University Press

Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives

Rässler, Susanne
Biometrics , Volume 62 (3) – Sep 1, 2006
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Publisher
Oxford University Press
Copyright
Copyright © 2006 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0006-341X
eISSN
1541-0420
DOI
10.1111/j.1541-0420.2006.00588_11.x
Publisher site
See Article on Publisher Site

Abstract

GELMAN , A. and MENG , X. L. ( eds ). Applied Bayesian Modeling and Causal Inference from Incomplete‐Data Perspectives . Wiley & Sons , New York/Chichester , 2004 . xix + 407 pp . US$110.00/€82.50 , ISBN 0‐470‐09043‐X . The editors call it a “showcase” book, displaying various contributions dealing with incomplete‐data perspectives. One motivation for the choice of this general theme is its importance for real‐world applications of statistical methods. According to the editors “it would be difficult to find an individual, statistician or otherwise, who could successfully deal with a real‐life statistical problem without having the frustration of dealing with missing data, or the need for some sophistication in modeling and computation, or the urge, possibly subconscious, to learn about underlying causal questions.” Right they are. The immediate motivation, however, for choosing this particular topic is the dedication of this volume to Professor Donald B. Rubin—as a special gift for his 60th birthday. Don Rubin has an impressive wide range of fields of interests. His contributions to statistics are enormous, and his impact on general quantitative studies becomes more than evident from the chapters in this book. Don Rubin's name is most closely connected with

Journal

Biometrics – Oxford University Press

Published: Sep 1, 2006

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