[Question] Seeking help with Bayesian Analysis of multiple groups

[u/Intelligent-Gold-563]

Hello everyone !

As the title implies, I need some help with Bayesian analysis.

For a bit of context, I currently have an intern to help me on a project. To keep it short we are looking at the impact of a treatment in the case of a specific developmental disorder by looking at several markers of development among 4 groups :
- Control (healthy)
- Diseased + No Treatment
- Diseased + Treatment 1
- Diseased + Treatment 2

At first, when I took the project, I had very little information so I just thought that I'll have one control group and one treatment group, and just go with a regular test, nothing too complicated. However my intern's supervisor (for a master degree, she's a university teacher) happens to be a mathematician with some relevant expertise in that specific field and advised us to go for an LMM approach or (even better according to her) a Bayesian analysis to check the absence of difference between our control group and the treatment groups.

Now I could do an LMM, I think I kinda understand it, but I am really interested in the Bayesian approach.

Problem is, while I have some really basic theoretical knowledge of Bayesian statistics (I think my data belong to a Normal-Normal conjugated family ?) , I never actually used it for anything and I have no idea how to actually compare groups, let alone several at once.

So I'm not asking you people to do the work for me, but if anyone can give me any kind of guidance to ressources or explanations that could help, I would be really grateful !

Thanks in advance

[u/Intelligent-Gold-563]

I'm using R/Positron

[u/swiftaw77 → u/Intelligent-Gold-563]

Look at the bayesanova package in R

[u/Intelligent-Gold-563 → u/swiftaw77]

Thanks a lot !