Does anyone have good resources on actually implementing Bayesian in research?
I'm currently reading Intuitive Biostatistics by Harvey Motulsky and Bernoulli's Fallacy by Aubrey Clayton.

I know that Bayesian stats make more sense to use. I have just been trained in using P-values for so long that I'm not sure how to do it any other way. How do I determine prior probabilities? Just by feeling it out?

I do try to use CI and effect size instead of P values, but that's not enough. I don't think...


@weberam2 I hope this helps.

It's available with pip.
pip install pymc3

I believe there's a GitHub repo too.

Sign in to participate in the conversation
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.