Bayesian Biostatistics

Petr Keil
January 2016

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.

Contents

  • I will show you the basics, you should figure out the rest yourselves.
  • Please, do ask questions and interrupt.

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Statistical models are stories about how the data came to be.