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

Andrew Gelman, Xiao-Li Meng (Herausgeber)

eBook Download: PDF

2004
John Wiley & Sons (Verlag)
978-0-470-09044-2 (ISBN)

Infos

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.

Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).

Rezensionen

"I congratulate the editors on this volume; it really is an
essential and very enjoyable journey with Don Rubin's statistical
family." (Biometrics, September 2006)

"...contains much current important work..."
(Technometrics, November 2005)

"This a useful reference book on an important topic with
applications to a wide range of disciplines." (CHOICE,
September 2005)

"With this variety of papers, the reader is bound to find
some papers interesting..." (Journal of Applied
Statistics, Vol.32, No.3, April 2005)

"I strongly recommend that libraries have a copy of this
book in their reference section." (Journal of the Royal
Statistical Society Series A, June 2005)

"...a very useful addition to academic libraries..."
(Short Book Reviews, Vol.24, No.3, December 2004)

Produkt-Details

• Erscheint lt. Verlag: 22.10.2004
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Reihe/Serie: Wiley Series in Probability and Statistics
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: Account • across • Active Research • algorithms • Bayesian • Bayesian analysis • Bayessches Verfahren • Bayes-Verfahren • Clinical • Computers • Data • highly • importance • important • Increasingly • Missing • Perspective • possible • Powerful • Problems • Range • Statistical • Statistics • Statistik • Study • Surveys • techniques • Topics • Trial • use
• ISBN-10: 0-470-09044-8 / 0470090448
• ISBN-13: 978-0-470-09044-2 / 9780470090442