xvii, 317 p. : ill. ; 24 cm.
  • PART A: META-ANALYSIS METHODOLOGY: THE BASICS Introduction: Meta-analysis: Its Development and Uses Defining Outcome Measures used for Combining via Meta-analysis-- Assessing Between Study Heterogeneity-- Fixed Effects for Combining Study Estimates-- Random Effects Models for Combining Study Estimates Exploring Between Study Heterogeneity-- Publication Bias-- Study Quality-- Sensitivity Analysis-- Reporting the Results of a Meta-analysis-- PART B: ADVANCED AND SPECIALIZED META-ANALYSIS TOPICS Bayesian Methods in Meta-analysis-- Meta-analysis of Individual Patient Data-- Missing Data-- Meta-analysis of Different Types of Data-- Meta-analysis of Multiple and Correlated Outcome Measures Meta-analysis of Epidemiological and other Observational Studies-- Generalised Synthesis of Evidence - 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-- Subject Index.
  • (source: Nielsen Book Data)9780471490661 20160528
With meta--analysis methods playing a crucial role in health research in recent years, this important and clearly--written book provides a much--needed survey of the field. Meta--analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments. The move towards evidence--based health care and practice is underpinned by the use of meta--analysis. This book: 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.
(source: Nielsen Book Data)9780471490661 20160528
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