I am looking for a good resource/a tutorial on building informative priors - I have data consisting of Presence/Absence outcomes for a certain bacteria. I have two different types of sample types and am interested in evaluating whether this bacteria is more likely to appear in one sample than the other. I have access to data that could help me build an informative prior for the intercept but I’m 1. not sure on the exact steps for doing this and 2. would like to be able to point to a (preferably) well-regarded academic work as the basis for my methodology. I apologize if this is a simple question or if this has been answered elsewhere - I’ve been looking but can’t seem to find a paper or tutorial that goes in depth on using other data to build informative priors. I’m pretty new to the Bayesian world so please also point out if there’s something majorly wrong in my understanding of the above. Any help, guidance, or advice would be greatly appreciated!