Statistical Meta-Analysis with ApplicationsAn 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:
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. |
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Contents
Various Measures of Effect Size | |
Combining Independent Tests | |
Methods of Combining EffectSizes | |
Inferenceabouta CommonMeanof Several Univariate Normal Populations 5 1 Results onCommon Mean Estimation | |
Tests of Homogeneity in MetaAnalysis | |
OneWay Random Effects Model | |
Combining ControlledTrials withNormal | |
MetaRegression | |
Multivariate MetaAnalysis | |
Bayesian MetaAnalysis | |
Publication Bias | |
Combination ofPolls 15 1 Formulation of the Problem | |
Vote CountingProcedures | |
References | |
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Statistical Meta-Analysis with Applications Joachim Hartung,Guido Knapp,Bimal K. Sinha No preview available - 2008 |