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Methods for Meta-Analysis in Medical Research医学研究中的META-分析方法

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Methods for Meta-Analysis in Medical Research医学研究中的META-分析方法

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作 者:Alexander J Sutton,Keith R. Abrams,David R Jones,Trevor A. Sheldon,FujianSong 著

出 版 社:吉林长白山

出版时间:2000-12-1

I S B N:9780471490661

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内容简介

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。

作者简介

目录

Preface xv
Acknowledgements xvii
Part A: Meta-Analysis Methodology: The Basics
1 Introduction - Meta-analysis: Its Development and Uses
2 Defining Outcome Measures used for Combining via Meta-analysis
3 Assessing Between Study Heterogeneity
4 Fixed Effects Methods for Combining Study Estimates
 5 Random Effects Models for Combining Study Estimates
 6 Exploring Between Study Heterogeneity
7 Publication Bias
 8 Study Quality
 9 Sensitivity Analysis
 10 Reporting the Results of a Meta-analysis
Part B: Advanced and Specialized Meta-analysis Topics
11 Bayesian Methods in Meta-analysis
12 Meta-analysis of Individual Patient Data
13 Missing Data
14 Meta-analysis of Different Types of Data
15 Meta-analysis of Multiple and Correlated Outcome Measures
16 Meta-analysis of Epidemiological and Other Observational Studies
17 Generalized Synthesis of Evidence-Combining Different Sources of Evidence
18 Meta-analysis of Survival Data
19 Cumulative Meta-analysis
20 Miscellaneous and Developing Areas of Application in Meta-analysis
AppendixⅠ:Software Used for the Examples in this Book
Subject index

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