Statistical Meta-Analysis with Applications
Language: English
Published by John Wiley and Sons Ltd, 2008
- First Edition
- Hardcover
- New
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Condition: New
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Add to basketItem description from seller
This book combines the authors' experiences on the topic and brings out a wealth of new information relevant to the study of meta-analysis. Applications ranging from business to education to environment to health sciences in both univariate and multivariate cases are presented alongside and subservient to theory. Series: Wiley Series in Probability and Statistics. Num Pages: 248 pages, , black & white illustrations, black & white tables, figures. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 239 x 164 x 21. Weight in Grams: 548. . 2008. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780470290897
- Title
- Statistical Meta-Analysis with Applications
- Author
- Joachim Hartung
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2008
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470290897
- ISBN 13
- 9780470290897
- Edition
- 1st Edition
The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies.
Two main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include:
- Meta-analysis regression procedures
-
Multiple-endpoint and multiple-treatment studies
-
The Bayesian approach to meta-analysis
-
Publication bias
-
Vote counting procedures
-
Methods for combining individual tests and combining individual estimates
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Using meta-analysis to analyze binary and ordinal categorical data
Numerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study.
Requiring only a working knowledge of statistics, Statistical Meta-Analysis with Applications is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.
"Synopsis" may belong to another edition of this title.
About the Author
GUIDO KNAPP, PhD, is Assistant Professor in the Department of Statistics at the Dortmund University of Technology, Germany. Dr. Knapp's areas of research interest include variance component models, error components regression models, meta-analysis, and flexible design in clinical trials.
BIMAL K. SINHA, PhD, is Presidential Research Professor of Statistics in the Department of Mathematics and Statistics at the University of Maryland at Baltimore County (UMBC). A Fellow of both the Institute of Mathematical Statistics and the American Statistical Association, Dr. Sinha's research specializes in the areas of multivariate analysis, mixed linear models, decision theory, robustness, and environmental statistics.
"About the title" may belong to another edition of this title.
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