"Bayesian Meta-Analysis: a practical introduction"

This book, written by me and Prof Gian Luca Di Tanna, will be published by CRC Press in May 2025.

The book will have an accompanying website at bayesian-ma.net. To be informed of events realted to it, you can just email me (see the black navbar for an address) or indeed, you can mail me a postcard c/o BayesCamp. I'll add you to our mailing list.

Table of Contents (as of summer 2024)

Part 1: The Fundamentals

1. A statistical inference primer

2. What is Bayesian statistics?

3. Common effect meta-analysis

4. Random effects meta-analysis and heterogeneity

Part 2: Getting Inputs and Crafting Outputs

5. How to extract statistics from published papers

6. Eliciting priors

7. Writing up your meta-analysis

Part 3: Specific Problems

8. Using arm- and time-based statistics

9. Network meta-analysis

10. Individual participant data

11. Unreported statistics

12. Cumulative meta-analysis and Bayesian updating

13. Publication bias

14. Multiple statistics

15. Multiple study designs

16. Multiple outcome scales and sub-scales

17. Informing policy and economic evaluation

18. Emerging topics in Bayesian meta-analysis