Hello.

If I want to fit an bayesian model to a small dataset… Can I first apply that model to a large dataset and use its output as prior for the small one?

For example I want to fit a regression model to see if smoking has an effect on cancer but I only have 30 observations.

What if I first apply the model to a public health service database with 1 million observations and use its output as the prior for my small experiment?