Bayesian Biostatistics
Petr Keil
February 2015
Contents
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.