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Handbook of meta-analysis / edited by Christopher H Schmid; Theo Stijnen; I R White.

Ebook Central Academic Complete Available online

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Format:
Book
Contributor:
Stijnen, Theo, editor.
White, I R, editor.
Schmid, Christopher H., editor.
Language:
English
Subjects (All):
MATHEMATICS / Probability & Statistics / General.
MEDICAL / Biostatistics.
Meta-analysis.
Physical Description:
1 online resource (xvi, 553 pages) : illustrations
Edition:
1st ed.
Place of Publication:
Boca Raton, Florida ; Abingdon, Oxon : CRC Press, [2021]
Summary:
This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.
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.
Notes:
Includes bibliographical references & index.
Description based on print version record.
ISBN:
1-351-64571-4
1-315-11940-4
9781315119403
OCLC:
1156415137

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