Methods for Meta-Analysis in Medical Research医学研究中的META-分析方法 chm umd 阿里云 下载 夸克云 pdf azw3 kindle

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。

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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书籍介绍

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.