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∗ Provides a thorough criticism and an up–to–date survey of meta–analysis methods
∗ Emphasises the practical approach, and illustrates the methods by numerous examples
∗ Describes the use of Bayesian methods in meta–analysis
∗ Includes discussion of appropriate software for each analysis
∗ Includes numerous references to more advanced treatment of specialist topics
∗ Refers to software code used in the examples available on the authors′ Web site
Practising statisticians, statistically minded clinicians and health research professionals will benefit greatly from the clear presentation and numerous examples. Medical researchers will grasp the basic principles of meta–analysis, and learn how to apply the various methods.
Combining Different Sources of Evidence Meta–analysis of Survival Data Cumulative Meta–analysis Miscellaneous and Developing Areas of Applications in Meta–Analysis Appendix I: Software Used for the Examples in this Book
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Both books can be recommended for graduate training and are useful additions to the library of those interested in the meta–analytic accumulation of literatures on training, vocational learning, and education in the professions. (Vocations and Learning, 15 December 2010)
"This well–written book offers an exhaustive criticism and up–to–date references, illustrates effectively with real life examples and data " (Journal of Statistical Computation & Simulation, July 2004)"this is an excellent book..." (Short Book Reviews, April 2001)
"...recommended for mathematically skilled readers interested in getting an overview of the various methods and the existing literature..." (Statistics in Medicine, 15 October 2003)
