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.
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Release date: |
July 2004 |
First published: |
September 2004 |
Authors: |
A. Gelman
|
Dimensions: |
234 x 156 x 25mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
440 |
ISBN-13: |
978-0-470-09043-5 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
General
|
LSN: |
0-470-09043-X |
Barcode: |
9780470090435 |
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