Bayesian Biostatistics

Petr Keil
February 2015

eu

eu

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.