Bayesian Biostatistics

DAY 1

• Likelihood, probability distributions
• First Bayesian steps

DAY 2

• First Bayesian steps
• Classical models (regression, ANOVA)

DAY 3

• Advanced models (mixed, time series)
• Inference, uncertainty, model selection.