Handbook of meta-analysis
Author(s)
Bibliographic Information
Handbook of meta-analysis
（Handbooks of modern statistical methods / Series editors, Garrett Fitzmaurice）
Chapman & Hall/CRC, 2021
- : hbk
Available at / 9 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references and index
Description and Table of Contents
Description
1. Provides a comprehensive overview of meta-analysis methods and applications.
2. Divided into four major sub-topics, covering univariate meta-analysis, multivariate, applications and policy.
3. Designed to be suitable for graduate students and researchers new to the field.
4. Includes lots of real examples, with data and software code made available.
5. Chapters written by the leading researchers in the field.
Table of Contents
1. Introduction to systematic review and meta-analysis
2. General themes in meta-analysis
3. Choice of effect measure and issues in extracting outcome data
4. Analysis of univariate study-level summary data using normal models
5. Exact likelihood methods for group-based summaries
6. Bayesian methods for meta-analysis
7. Meta-regression
8. Individual participant data meta-analysis
9. Multivariate meta-analysis
10. Network meta-analysis
11. Model Checking in meta-analysis
12. Handling internal and external biases: quality and relevance of studies
13. Publication and outcome reporting bias
14. Control risk regression
15. Multivariate meta-analysis of survival proportions
16. Meta-analysis of correlations, correlation matrices and their functions
17. The meta-analysis of genetic studies
18. Meta-analysis of dose-response relationships
19. Meta-analysis of diagnostic tests
20. Meta-analytic approach to evaluation of surrogate endpoints
21. Meta-analysis of epidemiological data, with a focus on individual participant data
22. Meta-analysis of prediction models
23. Using meta-analysis to plan further research
by "Nielsen BookData"
