Modern meta-analysis : review and update of methodologies
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Bibliographic Information
Modern meta-analysis : review and update of methodologies
Springer, c2017
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Includes bibliographical references and index
Description and Table of Contents
Description
Modern meta-analyses do more than combine the effect sizes of a series of similar studies. Meta-analyses are currently increasingly applied for any analysis beyond the primary analysis of studies, and for the analysis of big data. This 26-chapter book was written for nonmathematical professionals of medical and health care, in the first place, but, in addition, for anyone involved in any field involving scientific research. The authors have published over twenty innovative meta-analyses from the turn of the century till now. This edition will review the current state of the art, and will use for that purpose the methodological aspects of the authors' own publications, in addition to other relevant methodological issues from the literature.
Are there alternative works in the field? Yes, there are, particularly in the field of psychology. Psychologists have invented meta-analyses in 1970, and have continuously updated methodologies. Although very interesting, their work, just like the whole discipline of psychology, is rather explorative in nature, and so is their focus to meta-analysis. Then, there is the field of epidemiologists. Many of them are from the school of angry young men, who publish shocking news all the time, and JAMA and other publishers are happy to publish it. The reality is, of course, that things are usually not as bad as they seem. Finally, some textbooks, written by professional statisticians, tend to use software programs with miserable menu programs and requiring lots of syntax to be learnt. This is prohibitive to clinical and other health professionals.
The current edition is the first textbook in the field of meta-analysis entirely written by two clinical scientists, and it consists of many data examples and step by step analyses, mostly from the authors' own clinical research.
Table of Contents
Preface
Chapter 1.
Meta-Analysis in a Nutshell
Chapter 2.
Mathematical Framework
Chapter 3.
Meta-Analysis and the Scientific Method
Chapter 4.
Meta-Analysis and Random Effects Analysis
Chapter 5.
Meta-Analysis Software Programs
Chapter 6.
Meta-Analysis of Randomized Controlled Trials
Chapter 7.
Meta-Analysis of Observational plus Randomized Studies
Chapter 8.
Meta-Analysis of Observational Studies
Chapter 9.
Meta-Regression
Chapter 10.
Meta-Analysis of Diagnostic Studies
Chapter 11.
Meta-Meta-Analyses
Chapter 12.
Network Meta-Analysis
Chapter 13.
Random Intercepts Meta-Analysis
Chapter 14.
Probit Regression
Chapter 15.
Meta-Analysis with General Loglinear Models
Chapter 16.
Meta-Analysis with Variance Components
Chapter 17.
Ensembled Correlation Coefficients
Chapter 18.
Ensembled Accuracies
Chapter 19.
Meta-Analyses with Multivariate Assessments
Chapter 20. <
Transforming Odds Ratios into Correlation Coefficients
Chapter 21.
Meta-Analyses with Direct and Indirect Comparisons
Chapter 22.
Contrast Coefficients Meta-Analysis
Chapter 23.
Meta-Analysis with Evolutionary Operations
Chapter 24.
Meta-Analysis with Heterogeneity Rather than Homogeneity of Studies as Null-Hypothesis
Chapter 25.
Meta-Analytic Thinking and Other Spin-Offs of Meta-Analysis
Chapter 26.
<Novel Developments<
Index
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by "Nielsen BookData"
