@bma_net

Updates about the book "Bayesian Meta-Analysis: a practical introduction", by Robert Grant and Gian Luca Di Tanna, https://xitter.cf/t.co/2N5vJ6xwee

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Starting this week, we’ll be sharing a chapter-by-chapter introduction to our book, “𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 𝗠𝗲𝘁𝗮-𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: 𝗔 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻”. Each post will highlight the key concepts and takeaways, beginning today with
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the book is available here routledge.com/9781032451893 and any other bookstore!

Bayesian Meta-Analysis: A Practical Introduction

Meta-analysis is the statistical combination of previously conducted studies, often from summary statistics but sometimes with individual participant data. It is widespread in life sciences and is...

routledge.com
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New blog post! How Bayesian methods can help with your meta-analysis whenyou suspect a study statistic might be a typo. With lots of lovely code for hands-on learning, and tips on interpersonal stuff to keep you in a job when the AI comes for you. bayesian-ma.net/2025/07/15/w…

When study statistics might have a typo

This post expands on subject matter of Chapter 5 of our book, on extracting study statistics for meta-analysis. Uncertainty about a published statistic is one of the most common reasons to consider…

bayesian-ma.net
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💥 The website is now live at bayesian-ma.net ! 💥 We invite you all in letting us know about new papers, pre-prints, courses, events, webinar and everything BMA-related!
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We are delighted to present the cover of the book, "Bayesian Meta-Analysis: a practical introduction", by Robert Grant and @GLDiTanna , due out on @CRCPress, June 2025. routledge.com/Bayesian-Meta-…

Bayesian Meta-Analysis: A Practical Introduction

Meta-analysis is the statistical combination of previously conducted studies, often from summary statistics but sometimes with individual participant data. It is widespread in life sciences and is...

routledge.com
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This addresses a critical gap in the literature, making Bayesian meta-analytic techniques accessible to researchers across disciplines. We present examples and code in 7 software options: BUGS JAGS Stan Stata JASP R packages bayesmeta and brms Follow for regular updates!
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Interested in Complex Interventions? Davies & Higgins propose an additive meta-regression model over intervention components. This emerging subfield is worth watching! If the future of healthcare is prevention, then the future of interventions is Complex onlinelibrary.wiley.com/doi/…

A Complex Meta‐Regression Model to Identify Effective Features of Interventions From Multi‐Arm,...

Network meta-analysis (NMA) combines evidence from multiple trials to compare the effectiveness of a set of interventions. In many areas of research, interventions are often complex, made up of...

onlinelibrary.wiley.com
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brms sensitivity analysis for prior and likelihood:
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Last chance to book onto next week's Royal Statistical Society course @RoyalStatSoc . Bayesian meta-analysis with Robert Grant, 15-16 October, online. #Bayesian #metaanalysis #evidencesynthesis rss.org.uk/training-events/t…

Bayesian Meta-analysis - Virtual Classroom - Online - 2024-10-15, 9.30AM

rss.org.uk
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Via @dataelixir, a short example of a generalized additive model for meta-regression in brms (@paulbuerkner), by @MatthewBJane matthewbjane.github.io/blog-… - with 1 modifier, GAM = spline. - don't expect nuanced shapes from few studies - there's more options with IPD [RG]

Generalized Additive Models (GAMs) for Meta-Regression using brms – Matthew B. Jané

A GAM is a linear or generalized linear model that allows you to model non-linear relationships using splines, smooth functions that allows to model the “wiggliness” in the data. To my knowledge...

matthewbjane.com
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We just sent off the full draft of our book for expert review! It will be just right for researchers who learnt a little statistics, find themselves doing systematic reviews & #metaAnalysis, are frustrated by challenges in the evidence base, and want to try out #Bayesian methods.
Image of the title page, with book title and authors' names

ALT Image of the title page, with book title and authors' names

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In the next few weeks, we will launch the accompanying website with code, example datasets, blog posts from us and guests, and a *forum* 📢 where you can ask questions about using BMA in your own work.
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