∗ The various approaches are presented within a general unified framework.
∗ Meta–analysis techniques are described in detail, from their theoretical development through to practical implementation.
∗ Each topic discussed is supported by detailed worked examples.
∗ A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta–analysis.
∗ Fully documented programs using standard statistical procedures in SAS are available on the Web.
Ideally suited for practising statisticians and statistically–minded medical professionals, the book will also be of use to graduate students of medical statistics. The book is a self–contained and comprehensive account of the subject and an essential purchase for anyone involved in clinical trials.
Estimating the treatment difference in an individual trial
Combining estimates of a treatment difference across trials
Meta–analysis using individual patient data
Dealing with heterogeneity
Presentation and interpretation of results
Dealing with non–standard datasets
Inclusion of trials with different study designs
A Bayesian approach to meta–analysis
Sequential methods for meta–analysis
Appendix Methods of estimation and hypothesis testing
"...comprehensive and well illustrated contribution to the subject...useful for graduate students of medical statistics..." (Statistics in Medicine, Vol 23(3), 15 February 2004)