Statistical Meta-Analysis with Applications |
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| Author:
| Hartung, Joachim
Knapp, Guido
Sinha, Bimal K. |
| Series title: | Wiley Series in Probability and Statistics Ser. |
| ISBN: | 978-0-470-38634-7 |
| Publication Date: | Sep 2008 |
| Publisher: | John Wiley & Sons, Incorporated
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| Imprint: | Wiley-Interscience |
| Book Format: | Digital online |
| List Price: | USD $160.95 |
Book Description:
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An accessible introduction to performing meta-analysis across various areas of research 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...
More Description
An accessible introduction to performing meta-analysis across various areas of research 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
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Multiple-endpoint and multiple-treatment studies
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The Bayesian approach to meta-analysis
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Publication bias
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Vote counting procedures
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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.