METHODS FOR META-ANALYSIS IN MEDICAL RESEARCH - SUTTON, ALEXANDER JULIAN

METHODS FOR META-ANALYSIS IN MEDICAL RESEARCH

ALEXANDER JULIAN SUTTON

Yayınevi: Wiley

ISBN: 9780471490661

Yazar : David Jones Keith R. Abrams TREVOR A. SHELDON FUJIAN SONG

Ciltli | İngilizce | 346 Sayfa |

Tür: Sosyal Psikoloji

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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. Meta-analysis methods play a crucial role in health research and have been developed substantially over the last five years.
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.
Table of Contents:
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

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