Post Image
The snow leopards example
Code accompanying Chapter 2 of our book "Bayesian Meta-Analysis: a practical introduction". This is a simple example with an imaginary data set. It allows the…
bayesian-ma.net/2026/01/09/the-snow-leop...
Post Image
Simulating correlated data for time points
Learn how to simulate data from studies with multiple time points and other correlation structures. Make better informed decisions…
bayesian-ma.net/2026/01/08/simulating-co...
Post Image
Simulate randomised controlled trials to learn about meta-analysis
Simulate data from randomised controlled trials in order to learn about…
bayesian-ma.net/2025/12/17/simulate-rand...
Using Stata 19 evaluators for Bayesian meta-analysis
This is a summary of a workshop Robert gave at the Italian Stata Users' Group in Milan in September 2025. Sightseeing in the Galleria Vittorio Emanuele Stata version 19, released in 2025, introduced new additional flexibility to its Bayesian…
Going beyond the normal assumptions in random effects models in meta-analysis?
Most meta-analyses are based on the random-effects model, the standard go-to framework based on the assumption that each study estimates a different “true” effect and that these true effects follow a normal…
Online Bayesian MA training with the RSS
If you would prefer to get started in Bayesian meta-analysis with a two-day online course on the topic, then consider the course that Robert has been running with the Royal Statistical Society since 2020.
Post Image
Using the bootstrap to estimate Monte Carlo error of posterior quantiles
Learn how to estimate the Monte Carlo standard error for any quantile…
bayesian-ma.net/2025/08/14/using-the-boo...
Post Image
New post alert!
Simulate data to learn about inference, using R.
This is code expanding Chapter 1 of the book. More to follow, including implementations in Stata and…
bayesian-ma.net/2025/07/22/simulate-data...
Post Image
New blog post! Every single binary pairwise meta-analysis model in cmdstanr. And some normal ones too. Contrast-based! Arm-based!
bayesian-ma.net/2025/07/16/all-binary-pa...
New blog post!
How Bayesian methods can help with your meta-analysis when there is a study statistic that you suspect might be a typo. With lots of lovely code for hands-on learning, and tips on the interpersonal stuff to keep you in a job when the AI comes for you.
bayesian-ma.net/2025/07/15/w...
That way we Bayesian meta-analysts can help each other with this fascinating subject, wherever we are in the world. We are keen to include news of new developments, publications, events, etc, so please let us know if you have any news you think we should feature.
Breaking news!
Our new website is live at bayesian-ma.net
This is a hub for discussions related to Bayesian meta-analysis. We are adding all the code from the book (and more) over the summer. It is in a blog format so users can comment and ask questions against the relevant topic or software tool.
You can get our book with 20% off in the mid-year sale at Routledge (of which CRC Press is part)! Learn Bayesian Meta-Analysis for just 35.99 GBP! www.routledge.com/Bayesian-Met...
Our book is now officially out, and you can find it here: www.routledge.com/9781032451893 or at your favourite book seller.
It's been a great journey so far. Thanks to all the supportive people over the last few years! We are confident the best is yet to come. Stay tuned for updates!
Picture of textbook on Bayesian Meta-Analysis
Excited to get my hands on this new meta-analysis text by @rlgrant.bsky.social @bma-net.bsky.social
Robert will be giving a talk on Bayesian meta-analysis for R users at the next LondonR meetup on 10 July near Old Street tube station. www.meetup.com/londonr/even...
Come along & learn how easy it is to get started, what a fantastic range of packages you can use, and how it helps decision-making
Now on sale! 🎁 📖 You can pre-order "Bayesian Meta-Analysis: a practical introduction" from www.routledge.com/9781032451893 and all good booksellers. The book is being printed right now and will be shipped to you on 27 June 2025.
Part III: "Specific Problems" explores methods including network meta-analysis, individual participant data integration, publication bias modeling, and emerging techniques such as multivariate approaches and population-adjusted indirect comparisons.
Part II: "Getting Inputs and Crafting Outputs" addresses the practical challenges of extracting statistics from published literature, eliciting expert priors, and effectively communicating meta-analytic findings.
Part I: "The Fundamentals" establishes core statistical inference principles and Bayesian methodology, progressing through common effect and random effects meta-analysis frameworks.
We are delighted to unveil the table of contents for our forthcoming book "Bayesian Meta-Analysis: a practical introduction".
You can pre-order the book from Friday 6 June at: www.routledge.com/9781032451893
The book is organized in three parts:
Robert will be speaking at StanBio Connect on 30 May (online 1300-2000 UTC) on Bayesian meta-analysis in Stan and brms. stanbio.org
"Bayesian Meta-Analysis: A Practical Introduction", the new book by your friendly guides, Robert and Gian Luca, will be out in June on CRC Press! Here is the text from the back cover to give you an overview.
www.routledge.com/9781032451893
This book fills a gap, making Bayesian meta-analysis accessible to researchers across disciplines.
It introduces seven software options:
BUGS
JAGS
Stan
Stata
JASP
bayesmeta
brms
...so that you can decide which one is right for your work.
Follow this account for weekly updates, code, and tips!
book front cover
We're delighted to present the cover of the new book "Bayesian Meta-Analysis: a practical introduction", by Robert Grant & Gian Luca Di Tanna, which will be released by CRC Press in June 2025!
Follow this account for weekly updates...
www.routledge.com/Bayesian-Met...