Robert Grant writes:
My Bayesian Meta-Analysis book is now available. There is a discount code “BMA25” for 25% off until 6 September.
The website also has code (of all software options), examples and discussion.
There’s a lot yet to be settled in this topic, which we only just touch on briefly in a closing chapter, for example with Bayesian MAs of Bayesian studies, or RCTs borrowing external control information, or Gaussian processes, etc etc. Even small-m and small-p tasks in this space can be highly correlated and benefit from Stan.
I haven’t seen this new book, but the topic is important!
Here are some things my collaborators and I have written on Bayesian meta-analysis:
– Section 5.6 of Bayesian Data Analysis
– Meta-analysis with a single study
– Water Treatment and Child Mortality: A Meta-analysis and Cost-effectiveness Analysis
– Priors for hyperparameters in meta-analysis
– Exploring some questions about meta-analysis (using ivermectin as an example), with R and Stan code
– Constructing an informative prior using meta-analysis
– Meta-analysis, game theory, and incentives to do replicable research
– Using Bayesian meta-analysis to adjust for bias in experiments and observational studies
All these free readings, along with that 25%-off book, should give keep you busy for awhile!
Thanks for posting! We are populating the website/blog over the summer so that all the models in the book will be there in all the software options (the ones that are compatible anyway). The software options we talk about in detail in the book are: Stan (obviously), brms, BUGS/JAGS, R package bayesmeta, Stata, and JASP. We also want to expand into PyMC, then R packages RBesT and multiNMA in due course. Essentially, we are opinionated but we describe all the reasonable options in use, e.g. we don’t like vague/default priors and we don’t find use for Bayes factors, but we describe them anyway.
I reviewed this book for CRC Press; everyone should read it. I like the cover, Robert.
I didn’t know about some of Andrew’s papers on meta-analysis–I need to catch up on those.