A hands-on introduction to Bayesian inference using Stan to model patient wait times in a clinic. By fitting a Gamma distribution with right-censoring, we capture uncertainty in both model parameters and unseen outcomes, showcasing how Bayesian methods naturally handle incomplete data where traditional tools fall short.
