1. Principles of Systematic Reviews and Meta-Analyses
Rebecca L. Morganand Ivan D. Florez
2. Semi-automated Tools for Systematic Searches
Gaelen P. Adam, Byron C. Wallace, and Thomas A. Trikalinos
3. Fixed- and Random-effects Models
Steve Kanters
4. Assessing Heterogeneity in Random-Effects Meta-Analysis
Dean Langan
5. Performing Meta-Analyses with Very Few Studies
Anke Schulz, Christoph Schürmann, Guido Skipka, Ralf Bender
6. Systematic vs Rapid vs Scoping Reviews
Zachary Bouck, Sharon E. Straus, and Andrea C. Tricco
7. Living Systematic Reviews Mark Simmonds, Julian H Elliott, Anneliese Synnot, and Tari Turner
8. Umbrella Reviews: What They Are and Why We Need Them
Stefania I Papatheodorouand Evangelos Evangelou
9. Meta-analysis of Genetics Studies: Assessing Common and Rare Variation
Evangelos Evangelou
10. Meta-analysis of Pragmatic and Explanatory Trials
Lawrence Mbuagbaw and Theresa Aves
11. Meta-analysis of Proportions
Guido Schwarzer and Gerta Rücker
12. Meta-Analysis Methods of Diagnostic Test Accuracy Studies
Niki Dimouand Pantelis Bagos
13.Network Meta-Anaylsis
Jennifer Watt and Cinzia Del Giovane
14. Contrast-based and Arm-Based Models for Network Meta-Analysis
Amalia Karahalios, Joanne E. McKenzie, and Ian R. White
15. Software to Conduct a Meta-Analysis and Network Meta-Analysis
Caitlin Daly and Charlene Soobiah
16. Modelling Multicomponent Interventions in Network Meta-analysis
Areti Angeliki Veroniki, George Seitidis, Stavros Nikolakopoulos, Marta Ballester, Jessica Beltran, Monique Heijmans, and Dimitris Mavridis
17. Practical Considerations and Challenges when Conducting an Individual Participant Data(IPD) Meta-Analysis
Sarah J Nevitt and Catrin Tudur Smith
18. Individual Patient Data Meta-Analysis and Network Meta-Analysis
Suzanne C Freeman
19. Challenges in Comparative Meta-Analysis of the Accuracy of Multiple Diagnostic Tests
Areti Angeliki Veroniki, Sofia Tsokani, Gerta Rücker, Dimitris Mavridis, and Yemisi Takwoingi
This volume presents state-of-the art design, analysis and integration approaches for biomedical data including novel statistical models for a comprehensive and powerful synthesis and assessment of scientific evidence. Chapters detail principles of systematic reviews, semi-automated tools for systematic searches, fixed- and random-effects meta-analytical models, living systematic reviews, meta-analysis of genetic studies, meta-analysis of pragmatic and explanatory trials, network meta-analysis, and other modern approaches for data synthesis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Meta- Research: Methods and Protocols book, written by global experts, will introduce the reader in a step-by-step process to the methods of the vital and highly promising field of evidence synthesis.